Evaluation of factors affecting strategic supply chain network design

The design of a supply chain network lies at the core of supply chain management, and it is affected by many variables corresponding to several factor groups. This study evaluated the importance of such influencing factors, namely, political and social characteristics, supply characteristics, product characteristics, demand characteristics, and service requirements, for evaluating strategic location alternatives in a supply chain system. A structural equation modelling approach was employed to analyse the effects of these factors. Results indicated that supply characteristics, product characteristics, demand characteristics, and service requirements positively affect strategic supply chain network design. The influence of the political and social factor group on strategic location alternatives was not supported in this study. Theoretical and managerial implications of the findings are discussed and potential research directions are proposed.     

An approach for formalising the supply chain operations

Reference models play an important role in the knowledge management of the various complex collaboration domains (such as supply chain networks). However, they often show a lack of semantic precision and, they are sometimes incomplete. In this article, we present an approach to overcome semantic inconsistencies and incompleteness of the Supply Chain Operations Reference (SCOR) model and hence improve its usefulness and expand the application domain. First, we describe a literal web ontology language (OWL) specification of SCOR concepts (and related tools) built with the intention to preserve the original approach in the classification of process reference model entities, and hence enable the effectiveness of usage in original contexts. Next, we demonstrate the system for its exploitation, in specific – tools for SCOR framework browsing and rapid supply chain process configuration. Then, we describe the SCOR-Full ontology, its relations with relevant domain ontology and show how it can be exploited for improvement of SCOR ontological framework competence. Finally, we elaborate the potential impact of the presented approach, to interoperability of systems in supply chain networks.     

An empirical analysis of green supply chain management in the German automotive industry

The purpose of this paper is the empirical investigation of the status quo of green supply chain management in the German automotive industry from a practitioner's point of view. Several aspects of green supply chain management, such as the point of time of implementation, the driving forces, the relevance of intended goals and their particular realization and the adoption of eco‐programs with suppliers and customers as well as internal and external barriers are analyzed. Furthermore, the link to different performance criteria is tested by inductive statistics in order to show the potential of green supply chain management for competitiveness. For this study, managers from the automotive supply industry in Germany were asked about their estimations in this regard. The main conclusion is that managers express the need for green supply chain management on the one hand but also see corresponding problems in terms of required resources on the other hand. Furthermore, the analyses show that green supply chain management leads to higher performance in terms of several performance criteria. Copyright © 2009 John Wiley & Sons, Ltd and ERP Environment.     

论企业的生态化供应链管理

随着全球性环保意识的高涨,对产品环保性要求日益强烈,供应链体系也因此发生了很大的变化,只有把环境问题和环保理念融入整个供应链,建立合理科学的生态化供应链管理模式,才能迎接接踵而来的生态化浪潮的挑战。     

Structural investigation of supply networks: A social network analysis approach

A system of interconnected buyers and suppliers is better modeled as a network than as a linear chain. In this paper we demonstrate how to use social network analysis to investigate the structural characteristics of supply networks. Our theoretical framework relates key social network analysis metrics to supply network constructs. We apply this framework to the three automotive supply networks reported in Choi and Hong (2002). Each of the supply networks is analyzed in terms of both materials flow and contractual relationships. We compare the social network analysis results with the case-based interpretations in Choi and Hong (2002) and conclude that our framework can both supplement and complement case-based analysis of supply networks.     

提高10kV配网供电可靠性的方法探讨

随着我国经济的持续高速发展,对供电质量提出了更高的要求,提高10 kV配电网的供电可靠性已成为电力工业发展的基本要求。鉴于此,文章对提高10 kV配网供电可靠性的方法进行了探讨。     

供应链管理下企业面临的风险分析及其对策

文章从牛鞭效应、委托代理关系及网络安全3个方面着重分析了供应链管理中企业面临的风险,并提出了相应的应对措施。     

A hybrid modeling approach for resilient agri-supply network design in emerging countries: Colombian coffee supply chain

Sustainability and resilience in Agri-Food Supply Chains is a challenging topic of current interest in the research community. Resilience for Agri-Food Supply Chain (AFSC) is the capability of the supply network to manage and mitigate disruptions due to global warming and natural phenomena such as landslides and floods of crops, among others caused by humans. A significant challenge is to design efficient and resilient AFSCs in emerging countries while perishability constraints are considered. A methodology to design an AFSC for emerging countries is addressed in this research. The phenomena that aid in identifying critical aspects of the AFSC affecting their resilience are identified. The former approach combines optimization and simulation schemes by considering resilience metrics related to availability and connectivity. Indeed, the solution approach addresses the uncertainty by using simulation of disruptive events and finding resilient designs using mathematical programming. The proposed framework has been evaluated in a Colombian coffee supply chain. The obtained results show the efficiency of the proposed scheme to design AFSCs and allow the practitioners to measure, predict, compare, and improve the level of resilience of their supply chains (SCs).     

Effects of enterprise technology on supply chain collaboration: analysis of China-linked supply chain

Supply chain collaboration has received increasing attention from scholars and practitioners in recent years. However, our understanding of how enterprise information technology facilitates supply chain collaboration is still very limited, especially with regard to Chinese enterprise ownerships such as state-owned firms, joint-venture firms and local village-owned firms. This paper extends the theory established in enterprise information technology (IT) and supply chain collaboration literature and relates it with coordination in China-linked supply chain. Drawing upon an empirical study from 177 Chinese companies, we provide three major findings: (i) uncovered the importance of leveraging enterprise IT through supply chain collaboration; (ii) identified the relationship between enterprise ownership and enterprise technology use and supply chain collaboration in China-linked supply chain and (iii) illustrated effects of supply chain collaborative activities on operational and market performance.     

A socio-economic optimization model for blood supply chain network design during the COVID-19 pandemic: An interactive possibilistic programming approach for a real case study

In uncertain circumstances like the COVID-19 pandemic, designing an efficient Blood Supply Chain Network (BSCN) is crucial. This study tries to optimally configure a multi-echelon BSCN under uncertainty of demand, capacity, and blood disposal rates. The supply chain comprises blood donors, collection facilities, blood banks, regional hospitals, and consumption points. A novel bi-objective Mixed-Integer Linear Programming (MILP) model is suggested to formulate the problem which aims to minimize network costs and maximize job opportunities while considering the adverse effects of the pandemic. Interactive possibilistic programming is then utilized to optimally treat the problem with respect to the special conditions of the pandemic. In contrast to previous studies, we incorporated socio-economic factors and COVID-19 impact into the BSCN design. To validate the developed methodology, a real case study of a Blood Supply Chain (BSC) is analyzed, along with sensitivity analyses of the main parameters. According to the obtained results, the suggested approach can simultaneously handle the bi-objectiveness and uncertainty of the model while finding the optimal number of facilities to satisfy the uncertain demand, blood flow between supply chain echelons, network cost, and the number of jobs created.     

Evaluation of critical constructs for measurement of sustainable supply chain practices in lean‐agile firms of Indian origin: A hybrid ISM‐ANP approach

The purpose of this paper is to evaluate the critical criteria that are influencing the successful implementation of sustainable supply chain practices (SSCP) in the lean‐agile manufacturing firm. From the systematic literature review and field professionals' opinion, various criteria that are influencing sustainable supply chain were identified. Data were collected from 16 experts and analysed by an integrated approach of “interpretive structural modeling (ISM) and analytic network process (ANP).” ISM methodology was utilized to get a hierarchical relationship between all criteria. Further, the input to the ANP matrices was taken from the output of ISM, and three organizations that differ in their principle of operation were ranked to find out the extent of implementation of SSCP in the Indian context. The obtained results indicate that “Information technology‐enabled system support (ITS), SC member's awareness and literacy (SAL), Societal issues (SIS), and Scarcity of natural resources (SNR)” were most significant constructs for successful implementation of SSCP for the case organizations.     

A model of integrated regional logistics hub in supply chain

ABSTRACT

A regional logistics hub is a constellation of multiple logistics facilities in a region of several provinces or states. This research models an integrated regional logistics hub with consideration of time-phased demand in a multi-echelon, multi-period, and capacitated logistics network. The integrated logistics hub considers three phases based on the characteristics of China’s five-year planning policy. By applying mixed integer linear programming, the greedy heuristics approach, the particle swarm optimization algorithm, and the Hungarian method, the location of logistics facilities at different echelons of a supply chain is identified and the needs for facility expansion or closing during different time periods are determined.     

How product representation influences the understanding of supply chain process models

ABSTRACT

Process models are increasingly being used to analyse business processes within supply chains. Although products are an essential part of supply chain semantics, product representation in supply chain process models is insufficient. This research proposes a novel product representation, namely, ‘labelled flows,’ which directly assigns product names to flows instead of implicitly representing products through other visual constructs. Using a laboratory experiment, we find that labelled flows improve domain understanding with respect to product comprehension and product modelling performance. Our contribution to modelling research is a novel product representation within supply chain process models, which enhances domain understanding.     

Green multi-tier supply chain management: An enabler investigation

Stakeholder pressure, from actors including regulators, consumers and non-governmental organizations, has made organizations more responsible for poor environmental performance of their direct and sub-suppliers. Thus, green multi-tier supplier management (GMSM) has become an emergent topic. Yet it is still unclear how to enable GMSM practices effectively, i.e. how to enable sub-suppliers' environmental performance improvement. To help address the gap in the literature, this paper aims to identify enablers for sub-suppliers' environmental performance improvement, and it further applies a Decision-Making Trial and Evaluation Laboratory (DEMATEL)-based case study method to evaluate inter-relationships among these enablers and improve the focal company's GMSM practices, by using action research (AR) method principles. The data analysis and discussion with a follow-up evaluation after two years provided insights for the successful implementation of GMSM. The results show that top managers’ support from the organizations is a prominent and necessary foundational enabler. An interesting observation is that close proximity of supply chain members is regarded as a very prominent enabler. Evaluation and feedback on these enablers two years later found that the enabler mapping was beneficial, allowing them to address the most influential enablers, and thus the GMSM practices of the focal company has been highly improved. This paper concludes with directions for further research.     

Green supply chain management in the automotive industry: A study in Brazil

The auto industry is experiencing a time of restlessness, which stems from several elements that currently threaten the stability and status quo of its supply chains. Among these elements are autonomous driving, connectivity, electrification, and trip sharing that has led to new forms of mobility. In this context, this article presents the results of a research, which had three main objectives: (1) to identify the green supply chain management (GSCM) practices most commonly implemented in all industrial sectors worldwide, (2) to evaluate how these practices are considered by professionals in the automotive industry and by researchers working on the subject in Brazil, and (3) to identify and evaluate which practices are most widely adopted within these companies and/or supply chains and influence their environmental performance. The research method combined a qualitative research step (Delphi) with another quantitative one (survey). The results show that most of the reality of the automotive industry in Brazil is in line with studies on GSCM practices worldwide, but some specific findings have also been identified and discussed.     

Gaining from disorder: Making the case for antifragility in purchasing and supply chain management

The purchasing and supply chain management (P&SCM) discipline assumes that supply chains are fragile systems, hence taking a “negative” approach toward disorder. Building on Taleb’s concept of antifragility—the ability to gain from disorder rather than avoiding it—, we challenge this traditional assumption. The COVID-19 pandemic has revealed that some companies were indeed able to gain from disorder, whereas some of those that focused too much on robustness and resilience lost ground. Building robust and resilient supply chains may no longer be enough to thrive in today’s highly volatile business world. This article sparks a new debate by introducing antifragility to the P&SCM literature and provides new directions for future research.     

Risk management in humanitarian supply chain based on FMEA and grey relational analysis

The COVID-19 pandemic has disrupted the humanitarian supply chain management (HSCM) necessary for delivering emergency items during the disaster. The combined effects of climate change and the pandemic uncover the vulnerabilities of humanitarian supply chain operations and highlight the importance of risk management. This study aimed to identify priority risk factors and proposed mitigating risk strategies of a local government that is at the forefront of relief operations. It used Grey Relational Analysis (GRA) method to validate the Failure Mode and Effect Analysis (FMEA) approach in identifying priority issues relating to the supply chain risks. This paper reveals that the results of FMEA and GRA are almost similar.     

The influence of supply chain collaboration on collaborative advantage and port performance in maritime logistics

Although many academics and practitioners in the maritime industry have recognised the importance of supply chain collaboration (SCC) between ports and port users, there is still a lack of empirical work on this issue. This work empirically investigates the association between SCC, collaborative advantage and port performance in a maritime logistics context. Data were collected via a web-based questionnaire survey which engaged 178 responses from maritime logistics firms in South Korea. Hypotheses were tested by using structural equation modelling, following a hierarchical analysis process. The results confirm that SCC has positive impacts on collaborative advantage, which in turn helps to improve port performance. The finding indicates that collaborative advantage has a full mediation effect on the link SCC-port performance. This work invites managers to recognise the positive outcomes of inter-organisational SCC practices in enhancing collaborative advantage and port performance within port supply chain.     

供应链采购与传统采购的比较分析

传统采购侧重于采购交易活动,供应商和采购方之间经常要进行询价、报价、还价等来回谈判,双方是典型的竞价关系。供应链采购则注重对采供关系的管理,双方是合作关系。文章分析了二者的各自特征,指出了供应链采购的新变化及其发展趋势。