2018, vol. 11, núm. 4http://hdl.handle.net/2117/1271332024-03-28T12:41:30Z2024-03-28T12:41:30ZTotal productive maintenance for the sewing process in footwearReyes, JohnAlvarez, KevinMartínez, AmandaGuamán, Juanhttp://hdl.handle.net/2117/1275572020-07-22T22:01:03Z2019-01-24T15:11:52ZTotal productive maintenance for the sewing process in footwear
Reyes, John; Alvarez, Kevin; Martínez, Amanda; Guamán, Juan
Purpose: This research proposes an implementation model of Total Productive Maintenance (TPM) based on the analysis of criticality of machines in the sewing process in the Ecuadorian footwear industry and the identification of unproductive times caused by labor failures.
Design/methodology/approach: The project uses field research, presents a quantitative approach, the data collection is done in a horizon of 8 months in which the information is condensed in data tables and takes as a case study one of the most successful companies in the Ecuadorian footwear industry for its initiative to innovate their processes and research new technologies that help increase their efficiency.
Findings: The results allow to demonstrate the successful application of the proposed model in the industrial sector of footwear with an increase of average production standards of 5% and a reduction in the number of human errors of 72.2%.
Practical implications: The model allows to execute several activities in four phases: preparatory, introduction, implementation and consolidation in order to develop TPM in sewing process.
Originality/value: The paper describes a case study in a major shoe company with the aim of reducing the times for unscheduled stoppages and the number of failures.
2019-01-24T15:11:52ZReyes, JohnAlvarez, KevinMartínez, AmandaGuamán, JuanPurpose: This research proposes an implementation model of Total Productive Maintenance (TPM) based on the analysis of criticality of machines in the sewing process in the Ecuadorian footwear industry and the identification of unproductive times caused by labor failures.
Design/methodology/approach: The project uses field research, presents a quantitative approach, the data collection is done in a horizon of 8 months in which the information is condensed in data tables and takes as a case study one of the most successful companies in the Ecuadorian footwear industry for its initiative to innovate their processes and research new technologies that help increase their efficiency.
Findings: The results allow to demonstrate the successful application of the proposed model in the industrial sector of footwear with an increase of average production standards of 5% and a reduction in the number of human errors of 72.2%.
Practical implications: The model allows to execute several activities in four phases: preparatory, introduction, implementation and consolidation in order to develop TPM in sewing process.
Originality/value: The paper describes a case study in a major shoe company with the aim of reducing the times for unscheduled stoppages and the number of failures.Two stages optimization model on make or buy analysis and quality improvement considering learning and forgetting curvePratama, Mega AriaRosyidi, Cucuk NurPujiyanto, Ekohttp://hdl.handle.net/2117/1275432020-07-22T22:01:04Z2019-01-24T13:21:21ZTwo stages optimization model on make or buy analysis and quality improvement considering learning and forgetting curve
Pratama, Mega Aria; Rosyidi, Cucuk Nur; Pujiyanto, Eko
Purpose: The aim of this research is to develop a two stages optimization model on make or buy analysis and quality improvement considering learning and forgetting curve. The first stage model is developed to determine the optimal selection of process/suppliers and the component allocation to those corresponding process/suppliers. The second stage model deals with quality improvement efforts to determine the optimal investment to maximize Return on Investment (ROI) by taking into consideration the learning and forgetting curve.
Design/methodology/approach: The research used system modeling approach by mathematically modeling the system consists of a manufacturer with multi suppliers where the manufacturer tries to determine the best combination of their own processes and suppliers to minimize certain costs and provides funding for quality improvement efforts for their own processes and suppliers sides.
Findings: This research provides better decisions in make or buy analysis and to improve the components by quality investment considering learning and forgetting curve.
Research limitations/implications: This research has limitations concerning investment fund that assumed to be provided by the manufacturer which in the real system the fund may be provided by the suppliers. In this model we also does not differentiate two types of learning, namely autonomous and induced learning.
Practical implications: This model can be used by a manufacturer to gain deeper insight in making decisions concerning process/suppliers selection along with component allocation and how to improve the component by investment allocation to maximize ROI.
Originality/value: This paper combines two models, which in previous research the models are discussed separately. The inclusions of learning and forgetting also gives a new perspective in quality investment decision.
2019-01-24T13:21:21ZPratama, Mega AriaRosyidi, Cucuk NurPujiyanto, EkoPurpose: The aim of this research is to develop a two stages optimization model on make or buy analysis and quality improvement considering learning and forgetting curve. The first stage model is developed to determine the optimal selection of process/suppliers and the component allocation to those corresponding process/suppliers. The second stage model deals with quality improvement efforts to determine the optimal investment to maximize Return on Investment (ROI) by taking into consideration the learning and forgetting curve.
Design/methodology/approach: The research used system modeling approach by mathematically modeling the system consists of a manufacturer with multi suppliers where the manufacturer tries to determine the best combination of their own processes and suppliers to minimize certain costs and provides funding for quality improvement efforts for their own processes and suppliers sides.
Findings: This research provides better decisions in make or buy analysis and to improve the components by quality investment considering learning and forgetting curve.
Research limitations/implications: This research has limitations concerning investment fund that assumed to be provided by the manufacturer which in the real system the fund may be provided by the suppliers. In this model we also does not differentiate two types of learning, namely autonomous and induced learning.
Practical implications: This model can be used by a manufacturer to gain deeper insight in making decisions concerning process/suppliers selection along with component allocation and how to improve the component by investment allocation to maximize ROI.
Originality/value: This paper combines two models, which in previous research the models are discussed separately. The inclusions of learning and forgetting also gives a new perspective in quality investment decision.Coordination model in Hinterland chain of hub-and-spoke export trade logisticsSholihah, Sita AniisahSamadhi, T.M.A. AriCakravastia, AndiBahagia, Senator Nurhttp://hdl.handle.net/2117/1275342020-07-22T22:01:03Z2019-01-24T12:49:18ZCoordination model in Hinterland chain of hub-and-spoke export trade logistics
Sholihah, Sita Aniisah; Samadhi, T.M.A. Ari; Cakravastia, Andi; Bahagia, Senator Nur
Purpose: The purpose of this research is to develop an inter-organizational model of coordination in hinterland chain of hub-and-spoke in global logistics, where dryport works as a spoke and seaport as a hub.
Design/methodology/approach: The model built will define a conceptual model in order to coordinate several actors involved in handling the flow of goods and the flow of information (documents) in exporting goods via dryport, where their activities are interdependence. Therefore the first step was to investigate an existing business process of export system via dryport. Value Stream Mapping (VSM) is used to identify bottleneck in existing system and simplify the process. The third step was benchmarking coordination in selected country that have similarity of hinterland characteristics with Indonesia (archipelago country), and exporting agricultural or animal products. After that several alternatives conceptual model of coordination will be proposed, of which the development based on inter-organizational system (IOS) approach. The model is then evaluated by experts to choose the best conceptual model of coordination that suits the real system, especially in Indonesia. The choosen model then being validated by developing simulation using agent-based approach and discrete-event simulation.
Findings: The findings of this research is coordination mechanism in export process. There are two basic mechanisms in document preparation, three basic mechanisms in quarantine inspection, and three basic mechanisms in inland transportation and handling. The proposed model using a single connection and single submission to handling coordination among actors.
Originality/value: The paper provide coordination of inter-organizational system among involved actors in handling physical flow of goods and flow of information (documents) in arranging exporting goods via dryport (hub-and-spoke typology). Moreover, scope of research is hinterland (outside seaport) with coordination that considering flow of information in hub-and-spoke concept was rarely done by other researchers.
2019-01-24T12:49:18ZSholihah, Sita AniisahSamadhi, T.M.A. AriCakravastia, AndiBahagia, Senator NurPurpose: The purpose of this research is to develop an inter-organizational model of coordination in hinterland chain of hub-and-spoke in global logistics, where dryport works as a spoke and seaport as a hub.
Design/methodology/approach: The model built will define a conceptual model in order to coordinate several actors involved in handling the flow of goods and the flow of information (documents) in exporting goods via dryport, where their activities are interdependence. Therefore the first step was to investigate an existing business process of export system via dryport. Value Stream Mapping (VSM) is used to identify bottleneck in existing system and simplify the process. The third step was benchmarking coordination in selected country that have similarity of hinterland characteristics with Indonesia (archipelago country), and exporting agricultural or animal products. After that several alternatives conceptual model of coordination will be proposed, of which the development based on inter-organizational system (IOS) approach. The model is then evaluated by experts to choose the best conceptual model of coordination that suits the real system, especially in Indonesia. The choosen model then being validated by developing simulation using agent-based approach and discrete-event simulation.
Findings: The findings of this research is coordination mechanism in export process. There are two basic mechanisms in document preparation, three basic mechanisms in quarantine inspection, and three basic mechanisms in inland transportation and handling. The proposed model using a single connection and single submission to handling coordination among actors.
Originality/value: The paper provide coordination of inter-organizational system among involved actors in handling physical flow of goods and flow of information (documents) in arranging exporting goods via dryport (hub-and-spoke typology). Moreover, scope of research is hinterland (outside seaport) with coordination that considering flow of information in hub-and-spoke concept was rarely done by other researchers.Tools to measure the technological capabilities of the aerospace industryCastillón-Barraza, AcelaGonzález-Angeles, AlvaroLara-Chavez, FernandoMendoza-Muñoz, Ismaelhttp://hdl.handle.net/2117/1274132020-07-22T22:01:01Z2019-01-23T09:56:29ZTools to measure the technological capabilities of the aerospace industry
Castillón-Barraza, Acela; González-Angeles, Alvaro; Lara-Chavez, Fernando; Mendoza-Muñoz, Ismael
Purpose: The following article describes steps along with a mathematical model to determine the technological capability of the aerospace industry of Mexicali in the area of design (ICTD) and manufacturing (ICTM).
Design/methodology/approach: This model was performed by weighted variables using factor analysis to identify technological capacities of Small and medium-sized enterprises (SMEs) and compare them with those that must be accomplish to become suppliers for transnational industry (TNCs).
Findings: The results suggest that SMEs must realize a comparative table QFD of their current capabilities and the requirements established by transnational corporations, to create a strategic plan that includes; certifications (AS 9000, NAP CAP, Belts, ISO, Six Sigma), software acquisition and updated equipment necessary for reducing the technological gap. Additionally, it is recommended the integration of clusters of enterprises SMEs for the strengthening of technological capacities.
Originality/value: Up to we know, there is not similar model for measuring technological capabilities of aerospace industry.
2019-01-23T09:56:29ZCastillón-Barraza, AcelaGonzález-Angeles, AlvaroLara-Chavez, FernandoMendoza-Muñoz, IsmaelPurpose: The following article describes steps along with a mathematical model to determine the technological capability of the aerospace industry of Mexicali in the area of design (ICTD) and manufacturing (ICTM).
Design/methodology/approach: This model was performed by weighted variables using factor analysis to identify technological capacities of Small and medium-sized enterprises (SMEs) and compare them with those that must be accomplish to become suppliers for transnational industry (TNCs).
Findings: The results suggest that SMEs must realize a comparative table QFD of their current capabilities and the requirements established by transnational corporations, to create a strategic plan that includes; certifications (AS 9000, NAP CAP, Belts, ISO, Six Sigma), software acquisition and updated equipment necessary for reducing the technological gap. Additionally, it is recommended the integration of clusters of enterprises SMEs for the strengthening of technological capacities.
Originality/value: Up to we know, there is not similar model for measuring technological capabilities of aerospace industry.A condition-based opportunistic maintenance policy integrated with energy efficiency for two-component parallel systemsJiang, AipingWang, YuanyuanCheng, Yidehttp://hdl.handle.net/2117/1274072020-07-22T22:01:03Z2019-01-23T09:22:34ZA condition-based opportunistic maintenance policy integrated with energy efficiency for two-component parallel systems
Jiang, Aiping; Wang, Yuanyuan; Cheng, Yide
Purpose: In order to improve the energy utilization and achieve sustainable development, this paper integrates energy efficiency into condition-based maintenance(CBM) decision-making for two-component parallel systems. The objective is to obtain the optimal maintenance policy by minimizing total cost.
Design/methodology/approach: Based on energy efficiency, the paper considers the economic dependence between the two components to take opportunistic maintenance. Specifically, the objective function consists of traditional maintenance cost and energy cost incurred by energy consumption of components. In order to assess the performance of the proposed new maintenance policy, the paper uses Monte-Carlo method to evaluate the total cost and find the optimal maintenance policy.
Findings: Simulation results indicate that the new maintenance policy is superior to the classical condition-based opportunistic maintenance policy in terms of total economic costs.
Originality/value: For two-component parallel systems, previous researches usually simply establish a condition-based opportunistic maintenance model based on real deterioration data, but ignore energy consumption, energy efficiency (EE) and their contributions of sustainable development. This paper creatively takes energy efficiency into condition-based maintenance(CBM) decision-making process, and proposes a new condition-based opportunistic maintenance policy by using energy efficiency indicator(EEI).
2019-01-23T09:22:34ZJiang, AipingWang, YuanyuanCheng, YidePurpose: In order to improve the energy utilization and achieve sustainable development, this paper integrates energy efficiency into condition-based maintenance(CBM) decision-making for two-component parallel systems. The objective is to obtain the optimal maintenance policy by minimizing total cost.
Design/methodology/approach: Based on energy efficiency, the paper considers the economic dependence between the two components to take opportunistic maintenance. Specifically, the objective function consists of traditional maintenance cost and energy cost incurred by energy consumption of components. In order to assess the performance of the proposed new maintenance policy, the paper uses Monte-Carlo method to evaluate the total cost and find the optimal maintenance policy.
Findings: Simulation results indicate that the new maintenance policy is superior to the classical condition-based opportunistic maintenance policy in terms of total economic costs.
Originality/value: For two-component parallel systems, previous researches usually simply establish a condition-based opportunistic maintenance model based on real deterioration data, but ignore energy consumption, energy efficiency (EE) and their contributions of sustainable development. This paper creatively takes energy efficiency into condition-based maintenance(CBM) decision-making process, and proposes a new condition-based opportunistic maintenance policy by using energy efficiency indicator(EEI).Strategic consensus between functions and the role of supply chain technology as moderatorKusmantini, TitikHaryono, TulusUntoro, WisnuSetiawan, Ahmad Ikhwanhttp://hdl.handle.net/2117/1272812020-07-22T22:01:02Z2019-01-21T13:33:43ZStrategic consensus between functions and the role of supply chain technology as moderator
Kusmantini, Titik; Haryono, Tulus; Untoro, Wisnu; Setiawan, Ahmad Ikhwan
Purpose: This study aims to identify whether the degree of fit of the correlation between high supply chain and manufacturing strategy will result in a better performance.
Design/methodology/approach: Strategic alignment test between the functions uses 102 SMEs in Yogyakarta as, Indonesia with purposive sampling technique. The data are collected by distributing questionnaires to the companies that qualify the criteria of the sample, respondent target are procurement manager, production and IT.
Findings: Samples are grouped into two ideal types of strategies used mean split technique. 53 SMEs adopt ASCS (Agile Supply Chain Strategy) and 49 SMEs adopt LSCS (Lean Supply Chain Strategy). Two of the strategy groups have a low value of misfit score; it means that the degree of fit between supply chain strategy and manufacturing strategy is high. The result of simple regression test by using one side technique shows that a regression coefficient values is negative both in LSCS and ASCS group, but the hypothesis test is only proven on ASCS group while LSCS group is not significant.
Research limitations/implications: (1) The empirical finding of bivariate fit model test encourage a research space to explore the other contingent variable besides manufacturing strategy. For example, business and information technology strategy; (2) The measurement of the company performance becomes the objective of the success of the alignment of supply chain strategy with the contingent variable which should be specified using the performance variable of the supply chain.
Originality/value: The use of Euclidean distance formula is expected to cover the technical limitations of contingency test by using interaction approach between the complex variables; the value of misfit score reflects the extent to which program alignment between the company functions.
2019-01-21T13:33:43ZKusmantini, TitikHaryono, TulusUntoro, WisnuSetiawan, Ahmad IkhwanPurpose: This study aims to identify whether the degree of fit of the correlation between high supply chain and manufacturing strategy will result in a better performance.
Design/methodology/approach: Strategic alignment test between the functions uses 102 SMEs in Yogyakarta as, Indonesia with purposive sampling technique. The data are collected by distributing questionnaires to the companies that qualify the criteria of the sample, respondent target are procurement manager, production and IT.
Findings: Samples are grouped into two ideal types of strategies used mean split technique. 53 SMEs adopt ASCS (Agile Supply Chain Strategy) and 49 SMEs adopt LSCS (Lean Supply Chain Strategy). Two of the strategy groups have a low value of misfit score; it means that the degree of fit between supply chain strategy and manufacturing strategy is high. The result of simple regression test by using one side technique shows that a regression coefficient values is negative both in LSCS and ASCS group, but the hypothesis test is only proven on ASCS group while LSCS group is not significant.
Research limitations/implications: (1) The empirical finding of bivariate fit model test encourage a research space to explore the other contingent variable besides manufacturing strategy. For example, business and information technology strategy; (2) The measurement of the company performance becomes the objective of the success of the alignment of supply chain strategy with the contingent variable which should be specified using the performance variable of the supply chain.
Originality/value: The use of Euclidean distance formula is expected to cover the technical limitations of contingency test by using interaction approach between the complex variables; the value of misfit score reflects the extent to which program alignment between the company functions.Contrasting innovation competence FINCODA model in software engineering: narrative reviewAndreu-Andres, Maria-AngelesGonzález-Ladrón-de-Guevara, Fernando R.Garcia-Carbonell, AmparoWatts-Hooge, Franceshttp://hdl.handle.net/2117/1272792020-07-22T22:01:02Z2019-01-21T13:23:02ZContrasting innovation competence FINCODA model in software engineering: narrative review
Andreu-Andres, Maria-Angeles; González-Ladrón-de-Guevara, Fernando R.; Garcia-Carbonell, Amparo; Watts-Hooge, Frances
Purpose: Innovation competences are expected both in businesses and in higher education. Software organizations, in particular, require engineers that collaborate to deliver better services and products. Staff recruitment and training are human resource management tasks that are crucial to insuring that applicants and job holders have the competences that will facilitate quality output in software development processes.
This paper seeks to determine the competences that describe high-performing, innovative professionals in software engineering in order to weigh them against the FINCODA model on innovation competences devised to assess and enhance individuals’ capacity to innovate, a core outcome of the Framework for Innovation Competences Development and Assessment Project.
Design/methodology/approach: A review protocol was followed to examine the literature on software engineering to identify the innovation competence and behavioral indicators that are required in individuals.
Findings: According to the literature, the innovation competences required of the staff in software companies are creativity, critical thinking, initiative, team work and networking, dimensions that are contained in the FINCODA model. Findings also support the inclusion of the thirty-four behavioral indicators that constitute the five dimensions of the FINCODA model.
Originality/value: Business organizations need tools to assess innovation competences in employees. Universities, as well, lack the instruments to measure development of innovation competence in undergraduates that teaching/learning methods should enhance before students reach the workplace. This research sheds light on innovative workplace behaviors of software engineers and on feasible designs of training programs for staff and undergraduates by using the FINCODA model and its behavioral indicators. Future research will focus on ratifying the validation of the model and the online assessment tool derived from it.
2019-01-21T13:23:02ZAndreu-Andres, Maria-AngelesGonzález-Ladrón-de-Guevara, Fernando R.Garcia-Carbonell, AmparoWatts-Hooge, FrancesPurpose: Innovation competences are expected both in businesses and in higher education. Software organizations, in particular, require engineers that collaborate to deliver better services and products. Staff recruitment and training are human resource management tasks that are crucial to insuring that applicants and job holders have the competences that will facilitate quality output in software development processes.
This paper seeks to determine the competences that describe high-performing, innovative professionals in software engineering in order to weigh them against the FINCODA model on innovation competences devised to assess and enhance individuals’ capacity to innovate, a core outcome of the Framework for Innovation Competences Development and Assessment Project.
Design/methodology/approach: A review protocol was followed to examine the literature on software engineering to identify the innovation competence and behavioral indicators that are required in individuals.
Findings: According to the literature, the innovation competences required of the staff in software companies are creativity, critical thinking, initiative, team work and networking, dimensions that are contained in the FINCODA model. Findings also support the inclusion of the thirty-four behavioral indicators that constitute the five dimensions of the FINCODA model.
Originality/value: Business organizations need tools to assess innovation competences in employees. Universities, as well, lack the instruments to measure development of innovation competence in undergraduates that teaching/learning methods should enhance before students reach the workplace. This research sheds light on innovative workplace behaviors of software engineers and on feasible designs of training programs for staff and undergraduates by using the FINCODA model and its behavioral indicators. Future research will focus on ratifying the validation of the model and the online assessment tool derived from it.Analysing the adoption of lean production in remanufacturing industryPriyono, AnjarIdris, Fazlihttp://hdl.handle.net/2117/1272772020-07-22T22:01:02Z2019-01-21T12:57:24ZAnalysing the adoption of lean production in remanufacturing industry
Priyono, Anjar; Idris, Fazli
Purpose: This paper aims to analyse the challenges of lean manufacturing implementation in the remanufacturing industry. The research was undertaken in three types of remanufacturing company, torque converter, gearbox, and jet engine remanufacturers. This paper describes the characteristics of remanufacturing companies and compares them with the best practice company adopting lean manufacturing best practice: Toyota Motor Company. Through a comparison of the characteristics of the manufacturing environment, macro, and external condition, the challenges of adopting lean manufacturing are identified.
Design/methodology/approach: This study utilised a case study method to analyse qualitative data collected from interviews, observations, and focus group discussions. Although case studies are typically used in inductive research, this study followed a deductive approach.
Findings: The analysis demonstrated that remanufacturing companies experience challenges due to contextual differences to the benchmark company. The research found that there are some practices that are embedded in remanufacturing companies, but that the companies do not realise that these are lean manufacturing practices. On the other hand, there are a number of external factors that are beyond the remanufacturers’ control that hinder the adoption of lean manufacturing. In addition, the aftermarket business of remanufacturers has resulted in a number of distinctive macro condition characteristics that make the adoption of lean manufacturing more complex.
Practical implications: Successfully addressing barriers to lean manufacturing adoption might enhance the performance of remanufacturing process. This is because the business of remanufacturing is not value creation, but capturing value from used products.
Originality/value: This paper contributes to existing literature examining lean production in remanufacturing companies. It is novel in the sense that it is the first study examining lean production in the remanufacturing industry from organisational and managerial perspectives
2019-01-21T12:57:24ZPriyono, AnjarIdris, FazliPurpose: This paper aims to analyse the challenges of lean manufacturing implementation in the remanufacturing industry. The research was undertaken in three types of remanufacturing company, torque converter, gearbox, and jet engine remanufacturers. This paper describes the characteristics of remanufacturing companies and compares them with the best practice company adopting lean manufacturing best practice: Toyota Motor Company. Through a comparison of the characteristics of the manufacturing environment, macro, and external condition, the challenges of adopting lean manufacturing are identified.
Design/methodology/approach: This study utilised a case study method to analyse qualitative data collected from interviews, observations, and focus group discussions. Although case studies are typically used in inductive research, this study followed a deductive approach.
Findings: The analysis demonstrated that remanufacturing companies experience challenges due to contextual differences to the benchmark company. The research found that there are some practices that are embedded in remanufacturing companies, but that the companies do not realise that these are lean manufacturing practices. On the other hand, there are a number of external factors that are beyond the remanufacturers’ control that hinder the adoption of lean manufacturing. In addition, the aftermarket business of remanufacturers has resulted in a number of distinctive macro condition characteristics that make the adoption of lean manufacturing more complex.
Practical implications: Successfully addressing barriers to lean manufacturing adoption might enhance the performance of remanufacturing process. This is because the business of remanufacturing is not value creation, but capturing value from used products.
Originality/value: This paper contributes to existing literature examining lean production in remanufacturing companies. It is novel in the sense that it is the first study examining lean production in the remanufacturing industry from organisational and managerial perspectivesA literature review of design of criteria for supplier selectionRistono, AgusPratiktoSantoso, Purnomo BudiTama, Ishardita Pambudihttp://hdl.handle.net/2117/1272652020-07-22T22:01:01Z2019-01-21T12:27:19ZA literature review of design of criteria for supplier selection
Ristono, Agus; Pratikto; Santoso, Purnomo Budi; Tama, Ishardita Pambudi
Purpose: This paper proposes a new model for further research on how to select criteria in supplier selection, through a literature review and analysis of the advantages and disadvantages of previously used methods.
Design/methodology/approach: The methods used to select criteria in supplier selection were extracted from various online academic databases. The weaknesses and advantages of these methods were then analyzed. Based on these findings, several opportunities for improvement are proposed for further research. Finally, criteria design methods for the selection of suppliers are proposed using statistical multi-criteria decision making (S-MCDM) methods.
Findings: Direction and guidance for subsequent research to select the criteria used in supplier selection, based on the advantages and disadvantages of the decision methods used.
Research limitations/implications: Limitations of this study are that it is focused on the methods of criteria design in supplier selection.
Practical implications: This study can provide a research direction on the selection of criteria for supplier selection.
Social implications: This study provides ongoing guidance and avenues for further research.
Originality/value: New ideas for working out the developmental strategy for criteria selection are provided by statistical MCDM methods in supplier selection.
2019-01-21T12:27:19ZRistono, AgusPratiktoSantoso, Purnomo BudiTama, Ishardita PambudiPurpose: This paper proposes a new model for further research on how to select criteria in supplier selection, through a literature review and analysis of the advantages and disadvantages of previously used methods.
Design/methodology/approach: The methods used to select criteria in supplier selection were extracted from various online academic databases. The weaknesses and advantages of these methods were then analyzed. Based on these findings, several opportunities for improvement are proposed for further research. Finally, criteria design methods for the selection of suppliers are proposed using statistical multi-criteria decision making (S-MCDM) methods.
Findings: Direction and guidance for subsequent research to select the criteria used in supplier selection, based on the advantages and disadvantages of the decision methods used.
Research limitations/implications: Limitations of this study are that it is focused on the methods of criteria design in supplier selection.
Practical implications: This study can provide a research direction on the selection of criteria for supplier selection.
Social implications: This study provides ongoing guidance and avenues for further research.
Originality/value: New ideas for working out the developmental strategy for criteria selection are provided by statistical MCDM methods in supplier selection.Factors for implementing green supply chain management in the construction industryWibowo, Mochamad AgungHandayani, Naniek UtamiMustikasari, Anitahttp://hdl.handle.net/2117/1272542020-07-22T22:01:01Z2019-01-21T11:44:50ZFactors for implementing green supply chain management in the construction industry
Wibowo, Mochamad Agung; Handayani, Naniek Utami; Mustikasari, Anita
Purpose: The objectives of this study are to elaborate on the concepts, dimensions and elements of green supply chain management (GSCM) and develop a framework of GSCM implementation for the construction industry
Design/methodology/approach: This paper presents the findings from a study where experts were asked to contribute their opinions related to GSCM in the construction industry. To develop the model, the Delphi method was used. The objective of this method is to achieve the most reliable consensus in a group of experts
Findings: The research result is a developed framework for GSCM in the construction industry comprising five concepts, 22 dimensions, and 82 elements.
Research limitations/implications: The limitation of this research is that its output was the discovered elements, but it did not cover the implementation of this model in construction projects, so some elements may be missing.
Practical implications: The output of the research could give new perspective to manage the construction project based on Green Supply Chain Method.
Social implications: The stakeholder of the construction project has to learn with this concept (Green Supply Chain) in order to improve construction’s project performance.
Originality/value: The originality of this research is that it is a new theme in the area of the construction supply chain. Previous research merely considered the concept of GSCM in construction. Therefore, this research develops an assessment model for performance indicators of GSCM implementation in construction projects.
2019-01-21T11:44:50ZWibowo, Mochamad AgungHandayani, Naniek UtamiMustikasari, AnitaPurpose: The objectives of this study are to elaborate on the concepts, dimensions and elements of green supply chain management (GSCM) and develop a framework of GSCM implementation for the construction industry
Design/methodology/approach: This paper presents the findings from a study where experts were asked to contribute their opinions related to GSCM in the construction industry. To develop the model, the Delphi method was used. The objective of this method is to achieve the most reliable consensus in a group of experts
Findings: The research result is a developed framework for GSCM in the construction industry comprising five concepts, 22 dimensions, and 82 elements.
Research limitations/implications: The limitation of this research is that its output was the discovered elements, but it did not cover the implementation of this model in construction projects, so some elements may be missing.
Practical implications: The output of the research could give new perspective to manage the construction project based on Green Supply Chain Method.
Social implications: The stakeholder of the construction project has to learn with this concept (Green Supply Chain) in order to improve construction’s project performance.
Originality/value: The originality of this research is that it is a new theme in the area of the construction supply chain. Previous research merely considered the concept of GSCM in construction. Therefore, this research develops an assessment model for performance indicators of GSCM implementation in construction projects.