scholarly journals A Hybrid Genetic Algorithm-Ratio DEA Approach for Assessing Sustainable Efficiency in Two-Echelon Supply Chains

2020 ◽  
Vol 12 (19) ◽  
pp. 8075
Author(s):  
Mohammad Reza Mozaffari ◽  
Sahar Ostovan ◽  
Peter Fernandes Wanke

Measuring sustainable efficiency is a wide research topic that has gained increased relevance over the course of the years, particularly in the field of supply chain management. In this paper, novel Data Envelopment Analysis—ratio data (DEA-R) models are used to assess sustainable efficiency in two-echelon supply chains based on endogenous factors. Genetic algorithms are employed to determine optimal productive weights for each echelon and the overall supply chain by taking into account the hidden correlation structures among them as expressed in non-linear multi-objective functions. A case study on 20 firefighting stations is presented to illustrate the approach proposed and its accuracy for decision-making, as long as the issues of pseudo inefficiency and over estimation of efficiency scores are mitigated. Results indicate that the method proposed is capable of reducing efficiency estimation biases due to endogenous sustainable factors by yielding overall scores lower than or equal to the product of the efficiencies of the individual stages.

2018 ◽  
Vol 17 (05) ◽  
pp. 1429-1467 ◽  
Author(s):  
Mohammad Amirkhan ◽  
Hosein Didehkhani ◽  
Kaveh Khalili-Damghani ◽  
Ashkan Hafezalkotob

The issue of efficiency analysis of network and multi-stage systems, as one of the most interesting fields in data envelopment analysis (DEA), has attracted much attention in recent years. A pure serial three-stage (PSTS) process is a specific kind of network in which all the outputs of the first stage are used as the only inputs in the second stage and in addition, all the outputs of the second stage are applied as the only inputs in the third stage. In this paper, a new three-stage DEA model is developed using the concept of three-player Nash bargaining game for PSTS processes. In this model, all of the stages cooperate together to improve the overall efficiency of main decision-making unit (DMU). In contrast to the centralized DEA models, the proposed model of this study provides a unique and fair decomposition of the overall efficiency among all three stages and eliminates probable confusion of centralized models for decomposing the overall efficiency score. Some theoretical aspects of proposed model, including convexity and compactness of feasible region, are discussed. Since the proposed bargaining model is a nonlinear mathematical programming, a heuristic linearization approach is also provided. A numerical example and a real-life case study in supply chain are provided to check the efficacy and applicability of the proposed model. The results of proposed model on both numerical example and real case study are compared with those of existing centralized DEA models in the literature. The comparison reveals the efficacy and suitability of proposed model while the pitfalls of centralized DEA model are also resolved. A comprehensive sensitivity analysis is also conducted on the breakdown point associated with each stage.


Author(s):  
Antonina Tsvetkova ◽  
Britta Gammelgaard

PurposeThe purpose of this paper is to explore how supply chain strategies emerge and evolve in response to contextual influence.Design/methodology/approachA qualitative single-case study presents the journey of a supply chain strategy, conceptualised as the idea of transport independence in the Russian Arctic context. Data from 18 semi-structured interviews, personal observations and archival materials are interpreted through the institutional concepts of translation and editing effects.FindingsThe study reveals how supply chain strategies evolve over time and can affect institutional factors. The case study further reveals how contextual conditions make a company reconsider its core competencies as well as the role of supply chain management practices. The findings show that strategy implementation through purposeful actions can represent a powerful resistance to contextual pressures and constraints, as well as being a facilitator of change in actual supply chains and their context. During the translation of the idea of transport independence into actions, the supply chain strategy transformed itself into a form of strategic collaboration and thereby made supply chains in the Russian Arctic more integrated than before.Research limitations/implicationsMore empirical studies on strategy implementation in interaction with contextual and institutional factors are suggested. An institutional process perspective is applied in this study but the authors suggest that future research should include a human dimension by an exploration of day-to-day routines and challenges that employees face when strategising and the actions they take.Originality/valueThe study provides an understanding of how a new supply chain strategy emerges and how it changes during implementation. In this process-oriented study – merging context, process and strategy content – it is further shown that a supply chain strategy may affect the context by responding to contextual and institutional challenges.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohita Gangwar Sharma

PurposeMany commodity supply chains suffer from an unfair value distribution across the supply chain like “Coffee Paradox.” This study explores the coffee supply chain to determine how the country of origin–geographical indicator can be used as a method of fair distribution of value and provenance across the supply chain effectuated by the blockchain technology. By looking at an exemplar case study for India, this study provides insights into diverse research streams and practice.Design/methodology/approachBased on the case method, analyzing the implementation of blockchain in the coffee industry by a leading Indian software implementation of the logic, dynamics and forces for a provenance model has been devised. It further adopts a stakeholder cum institutional theory framework to understand the logical implementation of a blockchain project embedded in a territorial logic for a commodity supply chain.FindingsThis study specifically looks at coffee which is representative of a commodity supply chain. It also explores how the malaise of unfair value distribution gets addressed by bringing farmers and the consumers on a common platform facilitated by blockchain technology. This study contributes to the literature on blockchain, territory, commodity and supply chain. Using stakeholder cum institutional theory, this study helps to explore how the implementation is successful by different actors in the supply chain through collaboration.Research limitations/implicationsThis study provides a new stream of multi-disciplinary study at the interface of supply chain, technology, international trade and geography.Practical implicationsBlockchains are embedded in the supply chain, and supply chains are embedded in territories. This linkage is paramount and the ability to make these blockchain projects successful requires the deep study of the interaction of territory, technology and actors from the provenance angle. De-commodification of coffee can be actualized through blockchain.Social implicationsThe coffee paradox and skewed value distribution is also a social problem wherein the farmers do not get the right price of their produce and are exploited. This case also highlights how this social malaise can be addressed and rightful and equitable distribution of value happens across the value chain.Originality/valueThis linkage between territory, blockchain, commodity supply chain and institutions has not been discussed in the literature. Adopting the territorial design approach, this study is an attempt to stimulate inter-disciplinary conversations and thereby create a provenance framework for commodity and research questions for scholars from different disciplines and divergent disciplinary perspectives.


Author(s):  
Giulia Bruno

Especially in the food sector, fraud and counterfeiting are affecting the trust of consumers, who are more and more oriented to chose products basing on quality and traceability attributes rather than the price. Recently, the Electronic Product Code Information Services (EPCIS) standard was introduced to provide specifications for the representation of product traceability information. The collection and analysis of such information allows supply chains to be monitored and controlled through virtualization. Several applications of EPCIS were presented in literature, even if most of them are mainly focused on enabling technologies, with less emphasis on assessing how the available information can be used for a control at a higher level. This chapter review the relevant literature available on this topic, and present an architecture allowing the traceability of information about products throughout the entire supply chain by exploiting both the EPCIS standard and a NoSQL database. An application showing the potentiality of the proposed system in a case study is also reported.


2020 ◽  
Vol 12 (5) ◽  
pp. 1814 ◽  
Author(s):  
Iain J. Fraser ◽  
Martin Müller ◽  
Julia Schwarzkopf

Sustainability in supply chain management (SSCM) has become established in both academia and increasingly in practice. As stakeholders continue to require focal companies (FCs) to take more responsibility for their entire supply chains (SCs), this has led to the development of multi-tier SSCM (MT-SSCM). Much extant research has focused on simple supply chains from certain industries. Recently, a comprehensive traceability for sustainability (TfS) framework has been proposed, which outlines how companies could achieve MT-SSCM through traceability. Our research builds on this and responds to calls for cases from the automotive industry by abductively analysing a multi-tier supply chain (MT-SC) transparency case study. This research analyses a raw material SC that is particularly renowned for sustainability problems—the cobalt supply chain for electric vehicles—and finds that the extant literature has oversimplified the operationalisation of transparency in MT-SSCM. We compare the supply chain maps of the MT-SC before and after an auditing and mapping project to demonstrate the transparency achieved. Our findings identify challenges to the operationalisation of SC transparency and we outline how FCs might set to increase MT-SC transparency for sustainability.


Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6153
Author(s):  
Xuezhen Guo ◽  
Juliën Voogt ◽  
Bert Annevelink ◽  
Joost Snels ◽  
Argyris Kanellopoulos

Bio-based supply chains are by nature complex to optimize. The new logistic concept of integrated biomass logistical center (IBLC) provides us the opportunity to make full use of the idle capacity for a food/feed plant to produce biobased products so that the entire chain efficiency can be improved. Although research has been conducted to analyze the IBLC concept, is yet to be an optimization model that can optimally arrange the activities in the supply chain where an IBLC stands in the middle. To fill the knowledge gap in the literature, this paper makes the first step to develop a MILP model that enables biobased supply chain optimization with the IBLC concept, which supports logistic and processing decisions in the chain. The model is applied in a case study for a feed and fodder plant in Spain where managerial insights have been derived for transferring the plant to a profitable IBLC.


2019 ◽  
Vol 25 (5) ◽  
pp. 1145-1163 ◽  
Author(s):  
Per Engelseth ◽  
Judith Molka-Danielsen ◽  
Brian E. White

Purpose The purpose of this paper is to question the applicability of recent industry-derived terms such as “Big Data” (BD) and the “Internet of things” (IoT) in a supply chain managerial context. Is this labeling useful in managing the operations found in supply chains? Design/methodology/approach BD and IoT are critically discussed in the context of a complete supply chain organization. A case study of banana supply from Costa Rica to Norway is provided to empirically ground this research. Thompson’s contingency theory, Alderson’s functionalistic end-to-end “marketing channels” model, Penrose’s view of supply purpose associated with service provision, and particularities of banana supply reveal how end-to-end supply chains are complex systems, even though the product distributed is fairly simple. Findings Results indicate that the usefulness of BD in supply chain management discourse is limited. Instead its connectivity is facilitated by what is now becoming commonly labeled as IoT, people, devices and documents that are useful when taking an end-to-end supply chain perspective. Connectivity is critical to efficient contemporary supply chain management. Originality/value BD and IoT have emerged as a part of contemporary supply chain management discourse. This study directs attention to the importance of scrutinizing emergent and actual discourse in managing supply chains, that it is not irrelevant which words are applied, e.g., in research on information-enabled supply process development. Often the old words of professional terminology may be sufficient or even better to help manage supply.


2016 ◽  
Vol 23 (6) ◽  
pp. 1398-1422 ◽  
Author(s):  
Luís Miguel D. F. Ferreira ◽  
Cristóvão Silva ◽  
Susana Garrido Azevedo

Purpose – Companies need to excel in many areas to achieve a competitive advantage. This, together with pressure imposed by regulators and customers regarding sustainability concerns, leads companies to address sustainability in an integrated fashion across all management processes. The purpose of this paper is to suggest a model for the assessment of the environmental performance of a supply chain, based on four perspectives used in the balanced scorecard. Performance indicators are proposed based on the literature, as well as on the ISO 14031 and GRI standards, and were validated by a panel of experts. Design/methodology/approach – Based on a literature review on models for environmental performance management a novel model to assess the environmental performance of the supply chains (Env_BSC_4_SCPM) is proposed. Data collected from the first tier suppliers of an automotive industry case study are used to test the proposed model. Findings – The model developed was tested in a case study company, showing it ability to benchmark the company first tiers suppliers and products. The model is also useful as a decision support tool to define actions to be taken in order to improve the global environment performance of the supply chain. Research limitations/implications – The proposed model was developed to evaluate the environmental performance of supply chains. Nevertheless, the case study only takes account of the first tier suppliers, due to difficulties associated to data collecting for the other elements in the supply chain. Widening the frontiers, the next phase may include the application of this model to second, third and lower tier suppliers, as well as the final customer. Improvements in the model could also include the construction of a composite index to measure the environmental supply chain performance. Practical implications – The paper provides a model that can be used by practitioners to evaluate the environmental performance of their supply chain and to decide on actions to be taken to improve it. Originality/value – As stated by several authors, there has been limited research conducted in the field of environmental evaluation of supply chains. This paper proposes a novel model for the environmental performance of the supply chain and tests it using industrial empirical data.


2016 ◽  
Vol 8 (1) ◽  
pp. 26
Author(s):  
Rahul Sharma ◽  
Kamal Vagrecha

Supply chain management embodies the complete synchronization of the business functions in an organization. It also involves the strategy across these business functions within a particular business and across businesses within the supply chain, for the purposes of improving the long-term performance of the individual companies and the supply chain as a whole<sup>7</sup>. Metal supply chains involves another peculiarity as most of the companies involved are bothered more about the sales volumes rather than giving attention to the improving their supply chains. Companies in this sector often tend to give more importance to product rather than customer aspirations. In order to stay competitive a business has to strengthen its supply chain so that it adds more and more value in its offerings to the customers. This is even more important as customers are increasingly demanding more value in the product they buy. This has led the businesses to make their supply chains flexible and responsive.


2015 ◽  
Vol 26 (1) ◽  
pp. 42-60 ◽  
Author(s):  
Ville Hinkka ◽  
Maiju Häkkinen ◽  
Jan Holmström ◽  
Kary Främling

Purpose – The purpose of this paper is to propose a typology of radio frequency identification (RFID)-based tracking solution designs to fit differing fashion supply chains. The typology is presented as principles of form and function contributing toward a design theory of configurable RFID tracking for fashion logistics. Design/methodology/approach – The typology is developed based on a case study of a logistics service provider (LSP) interested in designing a tracking solution for different customers in fashion logistics. In addition to the LSP, four fashion retailers were involved in the study. The case study was carried out using a review of existing RFID tracking implementations in the fashion industry, analysis of an RFID tracking pilot conducted by the case company, and interviews with representatives of the retailers. Findings – By varying three design parameters (place of tagging, place of tracking start and place of tracking end) a tracking solution can be configured to fit the requirements and constraints of different fashion supply chains. In the fashion logistics context under investigation, such parameterization addresses retailer requirements, brings concrete and quantifiable benefits to both LSP and its customers, and enables incremental adoption of RFID tracking. Research limitations/implications – Although the typology is developed in the specific setting of a case company developing RFID tracking solutions for fashion logistics, the design parameters identified in the study can be used when considering configurable tracking solutions also in other domains and settings. However, further research is needed to evaluate the proposed typology in those settings. Practical implications – The proposed typology enables fashion companies to consider which configuration of RFID tracking best fits the requirements and constraints imposed by their particular supply chain. For fashion companies, who find adoption of RFID tracking difficult despite the obvious benefits, the proposed typology enables incremental implementation of supply chain-wide tracking. Originality/value – The developed typology, describing how RFID-based tracking solutions can be adjusted to fit the needs of fashion companies with differing supply chains and requirements, is novel. The typology is generalizable to most fashion logistics settings and probably to numerous other logistics domains.


Sign in / Sign up

Export Citation Format

Share Document