An innovative framework for performance analysis of members of supply chains

2015 ◽  
Vol 22 (2) ◽  
pp. 309-334 ◽  
Author(s):  
P. Chithambaranathan ◽  
Nachiappan Subramanian ◽  
PL.K. Palaniappan
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Performance Analysis ◽  
Supply Chains ◽  
New Members ◽  
Effective Utilization ◽  
Content Type ◽  
Small Organizations ◽  
A Company ◽  
Analysis Of Performance

Purpose – An appropriate system for analysing performance of supply chains is an important requirement for the effective utilization of the supply chains. The purpose of this paper is to develop a conceptual model for the task of analysing the performance of members of supply chains. Design/methodology/approach – A thorough literature review of the methodologies proposed earlier by various authors has been made. In this paper a multi criteria decision-making (MCDM) framework comprising of two MCDM approaches is proposed for analysing performance of supply chain members. Findings – Performance analysis of members of supply chain and the process of decision making based on the outcome of the analysis is a MCDM process. Since human judgements are often vague, the application of fuzzy concepts is appropriate for analysing the performance of supply chains. The framework proposed in this paper was validated in a company manufacturing textiles. Research limitations/implications – The methodologies proposed are of great use for large- and medium-sized enterprises. However, small organizations may not be able to allot enough resources to implement the methodologies proposed. Practical implications – The framework developed can be applied for undertaking a comparative analysis of performance of members of supply chains. It can also be applied for the process of incorporation of new members into the supply chain. Originality/value – Very few methods are available for analysing the performance of supply chains and the subject remains an under researched one. The major contribution of this paper is that it proposes a new framework.

Environmental sustainability of logistics service provider: an ANP-QFD approach

2015 ◽  
Vol 26 (2) ◽  
pp. 313-333 ◽  
Author(s):  
Jasmine Siu Lee Lam ◽  
Jing Dai
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Environmental Sustainability ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Chain Management ◽  
Content Type ◽  
Sustainability Performance ◽  
Logistics Service

Purpose – The purpose of this paper is to propose a methodology with systematic metrics for logistics service providers (LSPs) to develop their environmental sustainability performance in the context of green supply chain management. Design/methodology/approach – An integrated analytical approach which combines analytical network process (ANP) with quality function deployment (QFD) is proposed to develop LSPs’ environmental sustainability performance. In the approach, QFD is used to translate customer requirements (CRs) for “green” concerns into multiple criteria for LSP’s design requirements (DRs). ANP is used to analyze the inter-relationships among the various CRs and DRs. Findings – The effectiveness of the proposed approach is demonstrated by applying it to a global LSP. A case study shows how the proposed “ANP-QFD” technique can be deployed to understand customers’ expectation for environment management and develop tactics and measures with the aim to achieve the desirable outcome for LSPs’ environmental sustainability performance. Practical implications – Firms that emphasize sustainability as a competitive priority will benefit by communicating sustainability efforts to customers. Therefore, “ANP-QFD” is an integrative method which helps develop LSPs’ environmental sustainability performance by enabling logistics managers incorporate the “voice” of customers for environmental concerns into their decision-making process. The study demonstrates how to develop LSPs to be greener in order to realize the requirements of green supply chains. The proposed integrated approach can also be applied in other decision-making scenarios for effective green supply chain management. Originality/value – Various approaches that can deal with multiple and conflicting criteria have been adopted for LSP assessment in the literature. However, they fail to include the impact of business objectives and the requirements of company stakeholders (customer in this study) in the identification of performance criteria for LSP. They also did not incorporate the environmental sustainability perspective. This paper contributes to the emerging research topic of environmental sustainability in logistics and supply chains by tackling these inadequacies in the literature. The study facilitates LSPs and the supply chains they serve in achieving better economic and environmental performance, thus leading to truly sustainable outcomes.

scholarly journals Managing social responsibility in Chinese agriculture supply chains through the “a company + farmers” model

2017 ◽  
Vol 29 (3) ◽  
pp. 344-359 ◽  
Author(s):  
Shaoling Fu ◽  
Yuanzhu Zhan ◽  
Kim Hua Tan
Keyword(s):  
Supply Chain ◽  
Social Responsibility ◽  
Supply Chains ◽  
Relationship Commitment ◽  
Agricultural Products ◽  
Supply Chain Integration ◽  
Quality Performance ◽  
Content Type ◽  
Chinese Agriculture ◽  
A Company

Purpose Corporate social responsibility (CSR) has received a large amount of attention in research and in practice. As a response to the growing awareness of and concern about social and environmental issues, an increasing number of companies are integrating their supply chains and building an alliance of “a company + farmers”. The overall research question of this study is derived from the literature, and this paper aims to identify factors that influence the integration of the agriculture supply chain and to explore the relationship between these factors and quality performance. Design/methodology/approach The analysis is based on questionnaire survey data collected from 462 Chinese farmers under the organization pattern of “a company + farmers”. A structural equation model is applied in the empirical analysis of the relations among trust, relationship commitments of different types (normative and instrumental), supply chain integration and quality performance. Findings An understanding of the various influences on supply chain integration and quality performance is important in relation to CSR in Chinese agriculture. The results show that supply chain integration has positive effects on quality performance. Moreover, farmers’ normative relationship commitment to the company is positively related to supply chain integration. However, farmers’ instrumental relationship commitment to the company does not significantly affect the degree of integration between farmers and companies. Furthermore, trust has positive influences on the two types of relationship commitment and on supply chain integration. Research limitations/implications The findings provide a theoretical basis and practice guidelines for agricultural enterprises to manage CSR under the pattern of “a company + farmers”. The results help enterprises to acquire detailed information about the entire process of agricultural production, improve the quality and safety of primary agricultural products and enhance the competitiveness of Chinese agricultural products in the market. Originality/value The e-book shows that enterprises working within Chinese agriculture supply chains have a long tradition of working with CSR and supports cooperation between the European Union and China on food and agriculture.

scholarly journals Supply chain resilience and business responses to disruptions of the COVID-19 pandemic

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Usha Ramanathan ◽  
Olu Aluko ◽  
Ramakrishnan Ramanathan
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Exploratory Study ◽  
Mixed Methods Research ◽  
Small And Medium Enterprises ◽  
Retail Sector ◽  
Data Set ◽  
Content Type ◽  
The Uk

PurposeAt its peak, the COVID-19 pandemic has created disruption to food supply chains in the UK and for the entire world. Although societal changes created some resilience within the supply chains, high volatility in demand creates supply, logistics and distribution issues. This is reflected in the economic instability of businesses and small and medium enterprises (SMEs). In this paper, the authors explore factors behind this initial disruption in the supply chains and offer suggestions to businesses based on the established practices and theories.Design/methodology/approachThe authors use mixed methods research. First, the authors conducted an exploratory study by collecting data from published online sources. Then, the authors analysed possible scenarios from the available information using regression. The authors then conducted two interviews with UK retail sector representatives. These scenarios have been compared and contrasted to provide decision-making points to businesses and supply chain players to tackle current and any future potential disruptions.FindingsThe findings from the current exploratory study inform the volatility of supply chains. The authors suggested some possible responses from businesses, during and after the pandemic.Originality/valueThe regression model provides a decision-making approach to help supply chain businesses during the pandemic outbreak. Once a complete data set of COVID-19 is available, the authors can create a resilience model that can help businesses and supply chains.

Towards more balanced sourcing strategies – are supply chain risks caused by the COVID-19 pandemic driving reshoring considerations?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Remko van Hoek ◽  
David Dobrzykowski
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Supply Chain ◽  
Supply Chains ◽  
Research Process ◽  
Manufacturing Companies ◽  
Content Type ◽  
Management Techniques ◽  
The Many ◽  
The Impact

Purpose Reshoring is one of the supply chain risk management techniques suggested in literature. However, literature suggests that the decision-making involved in reshoring is complex and not fully understood. In the context of the COVID-19 pandemic, reshoring may represent a way to reduce reliance on global sources and improve resilience of their supply chains. This paper aims to explore if the pandemic is driving reshoring decisions and if the pandemic will actually lead to companies reshoring parts of their supply chain. Design/methodology/approach This paper critically engages with senior(-most) supply chain managers from three manufacturing companies as they proceed through reshoring decision-making. This enables to develop experiential knowledge about reshoring decision-making processes and their context, as well as insights into the relevance of existing knowledge about reshoring. While not a full multiple case study, the opportunity to engage directly with senior(-most) supply chain managers as they consider reshoring, enables near real-time learning. Not only is reshoring a very timely topic literature has also called for more event-based empirical research. Further to that, it is hoped that this can complement this special issue and support, in a timely manner, the many researchers that are actively studying the impact of the pandemic on supply chains. Findings Reshoring was being actively considered by all three companies during the research process in Q3 and Q4 of 2020. During this period the pandemic has not yet led to substantial implementation of reshoring, at least by the companies studied in this paper. In response to tariffs on Chinese imports, companies had been diversifying their supply base away from China, but doing so by developing alternative, global sources. Additionally, companies are using alternative risk management techniques, such as supplier collaboration, in the short to medium term. Reshoring decision-making is indeed found to be complex and requires a longer-term time horizon for decision-making and implementation. Logistical challenges and growth in demand do drive a willingness of consumers to pay a premium for locally sourced products. However, when supply normalizes these considerations might lose relevance well before reshoring decision-making and implementation can be completed. Originality/value This paper studies reshoring in a real-world setting, learning directly from insights from industry as they emerge. This paper develops four extensions to existing knowledge, develop these in frameworks and hope that this will support ongoing consideration in industry and support the many researchers that are active in this domain today. This paper also suggests several directions for further research.

Notions for the successful management of the supply chain: learning with Carrefour in Spain and Carrefour in China

2011 ◽  
Vol 16 (2) ◽  
pp. 148-154 ◽  
Author(s):  
Jesús Cambra‐Fierro ◽  
Rocío Ruiz‐Benítez
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Design Methodology ◽  
Real Data ◽  
Successful Management ◽  
Content Type ◽  
Global Strategies ◽  
A Company ◽  
Practical Implications

PurposeThis paper proposes a framework that considers some key concepts to design and manage supply chains in both national and international contexts. For a better understanding, it is intended to illustrate this framework with the case of Carrefour in both Spain and China.Design/methodology/approachIn the form of a case study the paper explains global strategies in both countries. The paper also discusses similarities and differences in the supply chain management in both contexts.FindingsThe paper found application of core SCM concepts to a leader distribution firm. “Thinking global and acting local” is also pertinent to application in the management of supply chains.Practical implicationsManagers may identify key processes and consider the possible contributions of each to the efficiency of their own chains. This case study could be also used as an example of the successful management of the supply chain of a company leader in its sector.Originality/valueThe present paper illustrates a leader company based on real data.

Supply chain performance benchmarking using grey-MOORA approach

2014 ◽  
Vol 4 (1) ◽  
pp. 24-55 ◽  
Author(s):  
Anoop Kumar Sahu ◽  
Saurav Datta ◽  
Siba Sankar Mahapatra
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Performance Management ◽  
Complex Problem ◽  
Supply Chain Performance ◽  
Global Marketplace ◽  
Content Type ◽  
Performance Benchmarking ◽  
Ranking Order

Purpose – In today's competitive global marketplace, performance management has been identified as a key strategic consideration towards achieving an efficient supply chain management. The task of estimating supply chain performance extent is seemed a complex problem entitled with multiple subjective performance measures and metrics; subjected to decision-making environment which involves an inherent vagueness, inconsistency and incompleteness associated with decision-makers (DMs) (expert panel) commitment towards assessment of various subjective (quantitative) evaluation indices. Consequently, it becomes difficult towards making a comparative study on performances of alternative supply chains. It is, therefore, indeed essential to conceptualize and develop an efficient appraisement platform helpful for benchmarking of alternative supply chains based on their performance extent. The paper aims to discuss these issues. Design/methodology/approach – The work explores the concept of grey numbers combined with multi-objective optimization by ratio analysis (MOORA) in perceptive to evaluate best alternative from among available alternative supply chains. Findings – The method has been found fruitful to facilitate such a multi-criteria group decision-making (MCGDM) problem under uncertain environment and provides an appropriate compromise ranking order with respect to available possible alternatives. Originality/value – Supply chain performance appraisement provides necessary means by which an organization can assess whether its supply chain is performing well, whether it has been improved or degraded as compared to the past record. The purpose of this research is to develop and to empirically test a multiple-indices hierarchical appraisement model for benchmarking of supply chain performance and its impact on competitiveness of manufacturing industries.

Product deletion and supply chain repercussions: risk management using FMEA

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Qingyun Zhu ◽  
Seyedehfatemeh Golrizgashti ◽  
Joseph Sarkis
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Supply Chain ◽  
Supply Chains ◽  
Portfolio Management ◽  
Failure Modes ◽  
Negative Impact ◽  
Product Portfolio ◽  
Content Type ◽  
Managerial Implications

PurposeProduct portfolio management is a strategic concern. Product portfolio management includes decisions associated with adding new products, maintaining existing products and deleting or phasing out problematic products. This paper first introduces a framework to identify risks of product deletion along supply chain activities. It utilizes failure mode and effects analysis (FMEA) to identify, analyse and evaluate product deletion risks on supply chains and proposes managerial implications for risk management in dynamic business scenarios. It is meant to build upon and address a gap in the product deletion and supply chain linkage literature.Design/methodology/approachFMEA is utilized in this study to structure and manage potential risks in product deletion decision-making on supply chains. FMEA is based on an analysis of severity, occurrence and detectability of failure modes. FMEA provides methods to help identify managerial preventive solutions to avoid and mitigate risk consequences of such decisions.FindingsTen top product deletion risks are identified in this study; discussions of their negative impact on supply chain performance, and possible managerial recommendations are followed for risk control, monitor and elimination.Practical implicationsFindings help managers to predict, avoid and mitigate risk consequences of product deletion decisions; especially those related to the supply chain. A framework to structure various risks of product deletion in the supply chain can be useful to both practitioners and researchers.Originality/valueThis study advances product portfolio management through enhanced understanding of product deletion decision-making in organizations; and especially contributes to a broader investigation of such decisions in supply chain management. It also structures the factors that play a role in identifying risks.

scholarly journals Modelling decision making in digital supply chains: insights from the petroleum industry

Kybernetes ◽  
2019 ◽  
Vol 49 (4) ◽  
pp. 1213-1228 ◽  
Author(s):  
Florina Livia Covaci ◽  
Pascale Zaraté
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Petroleum Industry ◽  
Real Life ◽  
Profit Maximization ◽  
Current Approach ◽  
Utility Functions ◽  
Maximization Problem ◽  
Content Type

Purpose This paper aims to overcome some of the limitations of previous works regarding automated supply chain formation (SCF). Hence, it proposes an algorithm for automated SCF using multiple contract parameters. Moreover, it proposes a decision-making mechanism that provides means for incorporating risk in the decision-making process. To better emphasize the features of the proposed decision-making mechanism, the paper provides some insights from the petroleum industry. This industry has a strategic position, as it is the base for other essential activities of the economy of any country. The petroleum industry is faced with volatile feed-stock costs, cyclical product prices and seasonal final products demand. Design/methodology/approach The authors have modeled the supply chain in terms of a cluster graph where the nodes are represented by clusters over the contract parameters that suppliers/consumers are interested in. The suppliers/consumers own utility functions and agree on multiple contract parameters by message exchange, directly with other participant agents, representing their potential buyer or seller. The agreed values of the negotiated issues are reflected in a contract which has a certain utility value for every agent. They consider uncertainties in crude oil prices and demand in petrochemical products and model the decision mechanism for a refinery by using an influence diagram. Findings By integrating the automated SCF algorithm and a mechanism for decision support under uncertainty, the authors propose a reliable and practical decision-making model with a practical application not only in the petroleum industry but also in any other complex industry involving a multi-tier supply chain. Research limitations/implications The limitation of this approach reveals in situations where the parameters can take values over continuous domains. In these cases, storing the preferences for every agent might need a considerable amount of memory depending on the size of the continuous domain; hence, the proposed approach might encounter efficiency issues. Practical implications The current paper makes a step forward to the implementation of digital supply chains in the context of Industry 4.0. The proposed algorithm and decision-making mechanism become powerful tools that will enable machines to make autonomous decisions in the digital supply chain of the future. Originality/value The current work proposes a decentralized mechanism for automated SCF. As opposed to the previous decentralized approaches, this approach translates the SCF optimization problem not as a profit maximization problem but as a utility maximization. Hence, it incorporates multiple parameters and uses utility functions to find the optimal supply chain. The current approach is closer to real life scenarios than the previous approaches that were using only cost as a mean for pairwise agents because it uses utility functions for entities in the supply chain to make decision. Moreover, this approach overcomes the limitations of previous approaches by providing means to incorporate risk in the decision-making mechanism.

Post COVID-19 Potentials and Innovation: The Future Supply Chain

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1054-1057
Author(s):  
Bindu Swetha Pasuluri ◽  
Anuradha S G ◽  
Manga J ◽  
Deepak Karanam
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
World Health Organization ◽  
World Wide ◽  
World Health ◽  
Future Supply ◽  
Entire World ◽  
Health Organization

An unanticipated outburst of pneumonia of inexperienced in Wuhan, , China stated in December 2019. World health organization has recognized pathogen and termed it COVID-19. COVID-19 turned out to be a severe urgency in the entire world. The influence of this viral syndrome is now an intensifying concern. Covid-19 has changed our mutual calculus of ambiguity. It is more world-wide in possibility, more deeply , and much more difficult than any catastrophe that countries and organizations have ever faced. The next normal requires challenging ambiguity head-on and building it into decision-making. It is examined that every entity involved in running supply chains would require through major as employee, product, facility protocols, and transport would have to be in place. It is an urgent need of structuring to apply the lessons well-read for our supply chain setup. With higher managers now being aware of the intrinsic hazards in their supply chain, key and suggestions-recommendations will help to guide leader to commit to a newly planned, more consistent supply chain setup. Besides, the employees’ mental health is also a great concern.

Propagation of risks and their impact on performance in fresh food retail

2015 ◽  
Vol 26 (3) ◽  
pp. 568-602 ◽  
Author(s):  
Samir K Srivastava ◽  
Atanu Chaudhuri ◽  
Rajiv K. Srivastava
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Performance Measures ◽  
Theory And Practice ◽  
Food Retail ◽  
Content Type ◽  
Fresh Food ◽  
Retail Supply Chains ◽  
And Performance ◽  
Supply Chain Risks

Purpose – The purpose of this paper is to carry out structural analysis of potential supply chain risks and performance measures in fresh food retail by applying interpretive structural modeling (ISM). Design/methodology/approach – Inputs were taken from industry experts in identifying and understanding interdependencies among food retail supply chain risks on different levels (sourcing and logistics outside the retail stores; storage and customer interface at the stores). Interdependencies among risks and their impact on performance measures are structured into a hierarchy in order to derive subsystems of interdependent elements to derive useful insights for theory and practice. Findings – Using the ISM approach the risks and performance measures were clustered according to their driving power and dependence power. Change in/inadequate government regulations’ are at the bottom level of the hierarchy implying highest driving power and require higher attention and focussed mitigation strategies. Risks like lack of traceability, transport delays/breakdowns and temperature abuse, cross-contamination in transport and storage have medium driver and dependence powers. Research limitations/implications – The approach is focussed on food retail supply chains in the Indian context and thereby limits the ability to generalize the findings. The academics and experts were selected on convenience and availability. Practical implications – It gives managers a better understanding of the risks and performance measures that have most influence on others (driving performance measures) and those measures which are most influenced by others (dependent performance measures) in fresh food retail and also a tool to prioritize them. This kind of information is strategic for managers who can use it to identify which performance measures they should concentrate on managing the trade-offs between measures. The findings and the applicability for practical use have been validated by both experts and practicing managers in food retail supply chains. Originality/value – The work is perhaps the first to link supply chain risks with performance and explains the propagation of risks in food retail supply chains. It contributes to theory by addressing a few research gaps and provides relevant managerial insights for practitioners.

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