Pub Date : 2020-01-01DOI: 10.1504/ijbpscm.2020.10032576
Vijay Lahri
{"title":"Assessment of critical drivers towards sustainable green supply chain performance management","authors":"Vijay Lahri","doi":"10.1504/ijbpscm.2020.10032576","DOIUrl":"https://doi.org/10.1504/ijbpscm.2020.10032576","url":null,"abstract":"","PeriodicalId":37630,"journal":{"name":"International Journal of Business Performance and Supply Chain Modelling","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76432882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1504/ijbpscm.2020.10032578
Martin Mathias Dome, Sadananda Prusty
{"title":"Uncovering risks in fresh agri-food supply chains: empirical evidence from tomato supply chain in Northern Tanzania","authors":"Martin Mathias Dome, Sadananda Prusty","doi":"10.1504/ijbpscm.2020.10032578","DOIUrl":"https://doi.org/10.1504/ijbpscm.2020.10032578","url":null,"abstract":"","PeriodicalId":37630,"journal":{"name":"International Journal of Business Performance and Supply Chain Modelling","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89522559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-10DOI: 10.1504/IJBPSCM.2019.10022625
Maxim A. Bushuev, A. Guiffrida
This paper investigates strategies for improving delivery performance to the end customer in a two-stage supply chain. A cost-based analytical model is used to evaluate how the expected penalty cost resulting from early and late delivery can be reduced. The effects of the width of the delivery window and the shape and scale parameters of the gamma distributed delivery time distribution on the expected penalty cost are explored. The model can guide practitioners who are attempting to cost-justify a program to improve delivery performance. It can also be used to estimate cost reduction over several deliveries and compare cost savings with required investments into delivery performance improvement. The model overcomes the limitations of previous delivery improvement studies which did not used an optimally positioned delivery window and were limited to symmetric delivery time distributions.
{"title":"Improving delivery performance for gamma distributed delivery time","authors":"Maxim A. Bushuev, A. Guiffrida","doi":"10.1504/IJBPSCM.2019.10022625","DOIUrl":"https://doi.org/10.1504/IJBPSCM.2019.10022625","url":null,"abstract":"This paper investigates strategies for improving delivery performance to the end customer in a two-stage supply chain. A cost-based analytical model is used to evaluate how the expected penalty cost resulting from early and late delivery can be reduced. The effects of the width of the delivery window and the shape and scale parameters of the gamma distributed delivery time distribution on the expected penalty cost are explored. The model can guide practitioners who are attempting to cost-justify a program to improve delivery performance. It can also be used to estimate cost reduction over several deliveries and compare cost savings with required investments into delivery performance improvement. The model overcomes the limitations of previous delivery improvement studies which did not used an optimally positioned delivery window and were limited to symmetric delivery time distributions.","PeriodicalId":37630,"journal":{"name":"International Journal of Business Performance and Supply Chain Modelling","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74087766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-10DOI: 10.1504/IJBPSCM.2019.10022634
Sumandev Tiwari, C. Wei, M. F. Mubarak
Since the dawn of new millennium, sustainable procurement (SP) has captivated the attention of scholars worldwide. In this context, this paper provides a critical analysis of SP research trend in supply chain management (SCM) journals. The analysis has been carried out using existing literature of SP research contributed by the authors and institutions from assorted countries. Specifically, the research tendency of SP in SCM is identified through a systematic analysis of sustainable procurement research articles published in ten selected SCM journals from 1990 to 2016. The analysis revealed that SP research has an increasing trend in recent times, indicating its widely growing significance. The research topics covered in this paper to focus on the sustainability issues of procurement practices are sustainability issues on the network of supply chain, foundation, SP process, and enablers as well as the determinant of SP. This comprehensive study provides practical insights to researchers and industrialists on the nature and scope of SP in SCM.
{"title":"Sustainable procurement: a critical analysis of the research trend in supply chain management journals","authors":"Sumandev Tiwari, C. Wei, M. F. Mubarak","doi":"10.1504/IJBPSCM.2019.10022634","DOIUrl":"https://doi.org/10.1504/IJBPSCM.2019.10022634","url":null,"abstract":"Since the dawn of new millennium, sustainable procurement (SP) has captivated the attention of scholars worldwide. In this context, this paper provides a critical analysis of SP research trend in supply chain management (SCM) journals. The analysis has been carried out using existing literature of SP research contributed by the authors and institutions from assorted countries. Specifically, the research tendency of SP in SCM is identified through a systematic analysis of sustainable procurement research articles published in ten selected SCM journals from 1990 to 2016. The analysis revealed that SP research has an increasing trend in recent times, indicating its widely growing significance. The research topics covered in this paper to focus on the sustainability issues of procurement practices are sustainability issues on the network of supply chain, foundation, SP process, and enablers as well as the determinant of SP. This comprehensive study provides practical insights to researchers and industrialists on the nature and scope of SP in SCM.","PeriodicalId":37630,"journal":{"name":"International Journal of Business Performance and Supply Chain Modelling","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90271452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-10DOI: 10.1504/IJBPSCM.2019.10022633
Sandhya Rai
Big data has become the life blood of the organisations. Organisations are gaining an understanding that if all the data that streams into businesses are captured and analysed, then they may prove to be a valuable source of information. The thought of data creating value is not new; businesses have always wanted to derive insight from data for making real time, fact-based decisions. In the domain of supply chain, companies are using big data analytics to manage activities like warehousing, transportation, inventory management, delivery, demand forecasting and scheduling. For this they are applying various data analytics tools and techniques. The aim of this paper is to explore all these application in detail and identify the tools and techniques that are used across upstream and downstream supply chain and develop a theoretical framework of application of big data in supply chain management (SCM).
{"title":"Big data - real time fact-based decision: the next big thing in supply chain","authors":"Sandhya Rai","doi":"10.1504/IJBPSCM.2019.10022633","DOIUrl":"https://doi.org/10.1504/IJBPSCM.2019.10022633","url":null,"abstract":"Big data has become the life blood of the organisations. Organisations are gaining an understanding that if all the data that streams into businesses are captured and analysed, then they may prove to be a valuable source of information. The thought of data creating value is not new; businesses have always wanted to derive insight from data for making real time, fact-based decisions. In the domain of supply chain, companies are using big data analytics to manage activities like warehousing, transportation, inventory management, delivery, demand forecasting and scheduling. For this they are applying various data analytics tools and techniques. The aim of this paper is to explore all these application in detail and identify the tools and techniques that are used across upstream and downstream supply chain and develop a theoretical framework of application of big data in supply chain management (SCM).","PeriodicalId":37630,"journal":{"name":"International Journal of Business Performance and Supply Chain Modelling","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78098208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-10DOI: 10.1504/IJBPSCM.2019.10022632
M. Ghiyasi
Data envelopment analysis (DEA) is a mathematical programming approach for calculating the relative efficiency of a group of decision making units (DMUs). After efficiency measurement process some DMUs may have the same measure of efficiency, specifically some DMUs may be found efficient. The question is which DMU performs better within a group of DMUs with the same measure of efficiency. The current article aims to answer this question based the DMU's aid not only to the associated group but also its aid to the whole production system. This yields to two ranking indices. The first index is for ranking inefficient DMUs with the same measure of efficiency and the second index is for ranking efficient DMUs. A comparison between the proposed approaches and well-known ranking index in the literature is provided and proposed approaches are explained by many numerical examples and a real life data illustration.
{"title":"Full ranking of efficient and inefficient DMUs with the same measure of efficiency in DEA","authors":"M. Ghiyasi","doi":"10.1504/IJBPSCM.2019.10022632","DOIUrl":"https://doi.org/10.1504/IJBPSCM.2019.10022632","url":null,"abstract":"Data envelopment analysis (DEA) is a mathematical programming approach for calculating the relative efficiency of a group of decision making units (DMUs). After efficiency measurement process some DMUs may have the same measure of efficiency, specifically some DMUs may be found efficient. The question is which DMU performs better within a group of DMUs with the same measure of efficiency. The current article aims to answer this question based the DMU's aid not only to the associated group but also its aid to the whole production system. This yields to two ranking indices. The first index is for ranking inefficient DMUs with the same measure of efficiency and the second index is for ranking efficient DMUs. A comparison between the proposed approaches and well-known ranking index in the literature is provided and proposed approaches are explained by many numerical examples and a real life data illustration.","PeriodicalId":37630,"journal":{"name":"International Journal of Business Performance and Supply Chain Modelling","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90736408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-10DOI: 10.1504/IJBPSCM.2019.100844
P. Farooquie, A. Suhail, M. Faisal
Supply chains are vulnerable to uncertainties in demand and supply. Such uncertainties are often responsible for failure of contracts between buyers and suppliers. Flexible provisions in contracts are likely to reduce the adverse effect of uncertainties on the supply chain effectiveness. The present paper proposes a framework for buyers and suppliers to introduce flexibility in their contracts to address uncertainty in demand and supply. The framework has been developed by simulating various demand and supply situations in the context of automotive supply chains. This framework also aims at identifying variables of a contract which the pair can negotiate and deliver seamlessly.
{"title":"Uncertainty and contract flexibility in automotive supply chains: a simulation model","authors":"P. Farooquie, A. Suhail, M. Faisal","doi":"10.1504/IJBPSCM.2019.100844","DOIUrl":"https://doi.org/10.1504/IJBPSCM.2019.100844","url":null,"abstract":"Supply chains are vulnerable to uncertainties in demand and supply. Such uncertainties are often responsible for failure of contracts between buyers and suppliers. Flexible provisions in contracts are likely to reduce the adverse effect of uncertainties on the supply chain effectiveness. The present paper proposes a framework for buyers and suppliers to introduce flexibility in their contracts to address uncertainty in demand and supply. The framework has been developed by simulating various demand and supply situations in the context of automotive supply chains. This framework also aims at identifying variables of a contract which the pair can negotiate and deliver seamlessly.","PeriodicalId":37630,"journal":{"name":"International Journal of Business Performance and Supply Chain Modelling","volume":"61 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84765991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.1504/ijbpscm.2019.10027444
C. Kumar, A. Ganguly
The urban area largely relies on the movement of goods and services. Additionally, pollution and congestions, the two negative externalities of urban freight movement, has led to a plethora of restrictions and regulations from operational and supply chain perspective. The paper tries to develop a bi-level programming model to analyse the social cost of pollution and congestion due to freight movement within urban areas of India at the product unit price-level. The model was based on government's toll and time-windows based regulation for vehicular entry restrictions within the urban areas for pollution. The model was iterated for various buyer-supplier for various buyer-supplier scenarios and for different service levels for backorders and deliveries during restricted time windows. It was observed that for various levels of service, profit differential varied between (−1.7%) to 2.8% of the product unit price and seemed to be significant enough for supply chain policy consideration.
{"title":"Quantification of social cost at product price-level for urban freight: a study of industrial products","authors":"C. Kumar, A. Ganguly","doi":"10.1504/ijbpscm.2019.10027444","DOIUrl":"https://doi.org/10.1504/ijbpscm.2019.10027444","url":null,"abstract":"The urban area largely relies on the movement of goods and services. Additionally, pollution and congestions, the two negative externalities of urban freight movement, has led to a plethora of restrictions and regulations from operational and supply chain perspective. The paper tries to develop a bi-level programming model to analyse the social cost of pollution and congestion due to freight movement within urban areas of India at the product unit price-level. The model was based on government's toll and time-windows based regulation for vehicular entry restrictions within the urban areas for pollution. The model was iterated for various buyer-supplier for various buyer-supplier scenarios and for different service levels for backorders and deliveries during restricted time windows. It was observed that for various levels of service, profit differential varied between (−1.7%) to 2.8% of the product unit price and seemed to be significant enough for supply chain policy consideration.","PeriodicalId":37630,"journal":{"name":"International Journal of Business Performance and Supply Chain Modelling","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77181173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.1504/ijbpscm.2019.10027445
Anshu Gupta, Nomita Pachar, P. Jha, J. Darbari
Retail plays an important role in creating a link between upstream stages of a supply chain and the end customers. Supply chains can create higher customer value and competitive advantage if retailers are capable of extending their capabilities and performance. It is imperative for retail businesses to monitor their performance based on appropriate performance measures and devise strategies for continuous improvements. This study presents the methodology for selection of performance assessment measures integrating fuzzy Delphi and data envelopment analysis (DEA) selective measure methods; and then compute the relative efficiency of multiple stores of an Indian Electronics retail chain following the DEA method. The overall performance of a retail chain rest on the individual store's performance and hence it is all the more important for the inefficient stores to benchmark the performance of the efficient stores. Subsequent to efficiency measurement, super efficiency scores are computed to rank the efficient stores and input/output slack are determined for inefficient stores to help practitioners in planning strategies for benchmarking and performance enhancement.
{"title":"Efficiency assessment of Indian electronics retail stores using DEA","authors":"Anshu Gupta, Nomita Pachar, P. Jha, J. Darbari","doi":"10.1504/ijbpscm.2019.10027445","DOIUrl":"https://doi.org/10.1504/ijbpscm.2019.10027445","url":null,"abstract":"Retail plays an important role in creating a link between upstream stages of a supply chain and the end customers. Supply chains can create higher customer value and competitive advantage if retailers are capable of extending their capabilities and performance. It is imperative for retail businesses to monitor their performance based on appropriate performance measures and devise strategies for continuous improvements. This study presents the methodology for selection of performance assessment measures integrating fuzzy Delphi and data envelopment analysis (DEA) selective measure methods; and then compute the relative efficiency of multiple stores of an Indian Electronics retail chain following the DEA method. The overall performance of a retail chain rest on the individual store's performance and hence it is all the more important for the inefficient stores to benchmark the performance of the efficient stores. Subsequent to efficiency measurement, super efficiency scores are computed to rank the efficient stores and input/output slack are determined for inefficient stores to help practitioners in planning strategies for benchmarking and performance enhancement.","PeriodicalId":37630,"journal":{"name":"International Journal of Business Performance and Supply Chain Modelling","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86678402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.1504/ijbpscm.2019.10027442
R. Murali, S. Vijay Anand, R. G. Kumar
With the growing importance for less polluting, cleaner and efficient processes, green supply chain management has grown in prominence in general. This has presented an important requirement for their study in a systematic manner. In an attempt to fulfil this requirement, this study puts forth several ideas. The impact of the variables, namely, anticipation of benefits and customer orientation on green supply chain management (GSCM) attributes has been taken up for an intensive study. These variables have impact on the GSCM attributes to varying degrees. Partial least squares structural equations modelling were used for the study and the open source statistical tool R for the analysis. The former is an appropriate tool when the data size is small and there are no assumptions about the characteristics of the data.
{"title":"Effect of internal supply chain drivers on green supply chain management attributes","authors":"R. Murali, S. Vijay Anand, R. G. Kumar","doi":"10.1504/ijbpscm.2019.10027442","DOIUrl":"https://doi.org/10.1504/ijbpscm.2019.10027442","url":null,"abstract":"With the growing importance for less polluting, cleaner and efficient processes, green supply chain management has grown in prominence in general. This has presented an important requirement for their study in a systematic manner. In an attempt to fulfil this requirement, this study puts forth several ideas. The impact of the variables, namely, anticipation of benefits and customer orientation on green supply chain management (GSCM) attributes has been taken up for an intensive study. These variables have impact on the GSCM attributes to varying degrees. Partial least squares structural equations modelling were used for the study and the open source statistical tool R for the analysis. The former is an appropriate tool when the data size is small and there are no assumptions about the characteristics of the data.","PeriodicalId":37630,"journal":{"name":"International Journal of Business Performance and Supply Chain Modelling","volume":"118 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78197952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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