Drivers of sustainable healthcare supply chain performance: multi-criteria decision-making approach under grey environment

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md Kamal Hossain ◽  
Vikas Thakur
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Performance Measurement ◽  
Cost Effective ◽  
Future Research ◽  
Product Management ◽  
Extensive Literature ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Priority Vector

PurposeThis paper aims to explore the drivers of sustainable healthcare supply chain (SHCSC) performance measurement through extensive literature review and experts' opinions. The drivers are then scrutinized and their priority vector is calculated to provide quality and cost-effective healthcare supply chain (HCSC) services.Design/methodology/approachThe drivers of the SHCSC performance measurement are validated using the grey-Delphi technique. After validating the drivers, they are prioritized using the grey-analytic hierarchy process (G-AHP), a multi-criteria decision-making tool.FindingsThe findings of the study highlight the prioritized drivers based on the preferences given by the experts. The findings of the study highlight the most prioritized drivers of healthcare (HC) by-product management system, coordinating and facilitating green suppliers in the HCSC and green packaging of pharmaceutical as well as other essential items.Practical implicationsThe HCSC managers should coordinate with all the stakeholders across the supply chain and involve them in the decision-making process to make products and services greener and become complicit in complying with the sustainable policy guidelines. The study highlights the strategic policy and managerial implications for implementing sustainability in the HCSC.Originality/valueThe validation and prioritization of the drivers of SHCSC in developing nations' contexts is the key contribution of the study. Grey-AHP enables a practical approach towards enhancing the sustainability of the HCSC and opening the doors for generalizing the study for future research works.

Measuring the supply chain competitiveness of e-commerce industry in Indonesia

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ade Febransyah ◽  
Joklan Imelda Camelia Goni
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Future Research ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Content Type ◽  
The Future ◽  
Business To Consumer ◽  
Software And Hardware ◽  
Decision Making Model

Purpose The purpose of this study is to measure the supply chain competitiveness of the e-commerce industry in Indonesia. Design/methodology/approach The study used a multi-criteria decision-making model based on the analytic hierarchy process. Four main criteria are used to measure the supply chain competitiveness, i.e. cost, differentiation, sustainability and infrastructure. Findings The findings of this study show that cost is the most important criterion with a degree of importance of 33.19%, followed by infrastructure of 29.40%, differentiation of 27.96% and sustainability of 9.45%. It shows that the internally controlled strategy contributes about 70% of supply chain competitiveness. The internal infrastructure criterion that consists of software and hardware contributes 65.92% to the whole infrastructure criterion. The internal infrastructure then contributes 19.38% to supply chain competitiveness. Therefore, the internally controlled strategies and internal infrastructure contribute up to 90.08% to the supply chain competitiveness of e-commerce in Indonesia. This result implies that to attain the supply chain competitiveness, the company must carry out strategies focusing on the performance such as cost, differentiation, sustainability as well as on the internal infrastructure such as software and hardware. Research limitations/implications In this paper, the authors limited their study to the business to business (B2B) and business to consumer (B2C) players because these two platforms have been experiencing a very rapid growth. While e-commerce business can take many platforms besides B2B and B2C, the future research should include other platform such as consumer to consumer as well. Because the focus in this study is more the information and material flows, it will be of great interest if the future research covers the platform of mobile payment as well that guarantee the ease of cashflows within supply chains. Also, with the occurrence of the Covid-19 pandemic when this paper was written, in the near future, it is then of great interest to incorporate the pandemic context into the proposed model used in this study. The further study should analyze long-term changes happened as the result of pandemic such as behavioral changes of online shopping from customer side or shift in e-commerce supply chain infrastructure and inventory practice. Practical implications With this study, it is expected that it can be determined which criteria contribute the most to the supply chain competitiveness of the e-commerce industry in Indonesia that will be useful for industry player. Originality/value E-commerce development in Indonesia is still facing serious challenges. The multi-criteria decision making approach used in this research lays a foundation of how supply chain competitiveness is determined based on the judgment of experts coming from major companies within the supply chain.

Humanitarian supply chain management frameworks

2019 ◽  
Vol 26 (6) ◽  
pp. 1749-1780 ◽  
Author(s):  
Sachin Agarwal ◽  
Ravi Kant ◽  
Ravi Shankar
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Performance Measurement ◽  
Research Trend ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
Measurement Framework ◽  
Humanitarian Supply Chain ◽  
Humanitarian Supply Chain Management

Purpose The purpose of this paper is to examine and compare extant framework in humanitarian supply chain management (HSCM) and to propose a framework on humanitarian supply chain (HSC) performance measurement based on the content, context and process. Design/methodology/approach The structured keywords, namely humanitarian supply chain (HSC), humanitarian logistic (HL), humanitarian relief chain (HRC) and humanitarian chain (HC) as an exact phrase were searched in the title, abstract and keywords in the academic database. A total of 66 peer-reviewed articles were selected for analysis purpose that reports framework from the reviewed literature. These selected frameworks are categorized in dimensions, namely framework novelty, framework source, recognize elements/constructs of framework, comparative analysis of the framework and in-depth study of HSCM performance measurement. Findings The analysis reveals that the majority of these developed frameworks are novel and academic based. Case study is most prominent research methodology in the development of HSCM framework. Lack of coordination among humanitarian stakeholders is the major challenge in the empirical implementation of framework. This study proposes future research trend toward a unified HSCM framework that will facilitate to uncover the coherent set of elements/constructs in the field of HSCM. Research limitations/implications This study considers peer-reviewed articles published in English language, and excludes conference papers, working articles, technical data/reports and book chapters. Practical implications This study categorizes new dimension for framework analysis and proposed an HSC performance measurement framework which gives new insights to the academicians, practitioners and policy makers for future work. Social implications This examination gives the establishment to facilitate investigation of viable, efficient and effective HSCM, and detail opportunities for practices. Originality/value This study critically analyzes 66 frameworks under the different criteria to identify research gap and trends. Furthermore, this study proposes the HSC performance measurement framework.

Vehicle routing in cold food supply chain logistics: a literature review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahmoud Awad ◽  
Malick Ndiaye ◽  
Ahmed Osman
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Vehicle Routing ◽  
Distribution Systems ◽  
Critical Parameters ◽  
Future Research ◽  
Monitoring And Control ◽  
Modeling Framework ◽  
Content Type ◽  
Cold Food

PurposeCold supply chain (CSC) distribution systems are vital in preserving the integrity and freshness of transported temperature sensitive products. CSC is also known to be energy intensive with a significant emission footprint. As a result, CSC requires strict monitoring and control management system during storage and transportation to improve safety and reduce profit losses. In this research, a systematic review of recent literature related to the distribution of food CSC products is presented and possible areas to extend research in modeling and decision-making are identified.Design/methodology/approachThe paper analyzes the content of 65 recent articles related to CSC and perishable foods. Several relevant keywords were used in the initial search, which generated a list of 214 articles. The articles were screened based on content relevance in terms of food vehicle routing modeling and quality. Selected articles were categorized and analyzed based on cost elements, modeling framework and solution approach. Finally, recommendations for future research are suggested.FindingsThe review identified several research gaps in CSC logistics literature, where more focused research is warranted. First, the review suggests that dynamic vehicle modeling and routing while considering products quality and environmental impacts is still an open area for research. Second, there is no consensus among researchers in terms of quality degradation models used to assess the freshness of transported cold food. As a result, an investigation of critical parameters and quality modeling is warranted. Third, and due to the problem complexity, there is a need for developing heuristics and metaheuristics to solve such models. Finally, there is a need for extending the single product single compartment CSC to multi-compartment multi-temperature routing modeling.Originality/valueThe article identified possible areas to extend research in CSC distribution modeling and decision-making. Modified models that reflect real applications will help practitioners, food authorities and researchers make timely and more accurate decisions that will reduce food waste and improve the freshness of transported food.

Multi-criteria decision-making toward supplier selection: exploration of PROMETHEE II method

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nishant Agrawal
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Supply Chain ◽  
Case Studies ◽  
Supplier Selection ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Promethee Ii ◽  
Wide Range ◽  
Managerial Implications

PurposeSupplier Selection (SS) is one of the vital decisions frequently executed by numerous industries. In recent times, the number of suppliers has increased enormously depending on a wide range of criteria. A selection of suppliers is a sensitive process that may impact various supply chain activities. The purpose of this research is to explore an underutilized technique called PROMETHEE II method for SS.Design/methodology/approachVarious tools and techniques are available under multi-criteria decision-making tools, which sometimes creates confusion in researchers' minds regarding reliability. PROMETHEE II was the most prominent method for ranking all available alternatives that ultimately avoid decision-making errors. To execute this equal and unequal weights approach has been used with three case studies.FindingsIn this research, three case studies have been used and soved with the help of the PROMETHEE II approach. The study also provides fundamental insights into the supplier's ranking on different criteria using sensitivity analysis. Further, criteria were divided as per benefits and non-beneficial to get a robust result. The pros and cons of PROMETHEE II approaches are also highlighted compared to other MCDM tools in this study.Originality/valueMost of the SS research uses either AHP or TOPSIS as per existing literature. There are very few attempts highlighted in the literature that use PROMETHEE II for the SS problem with sensitivity analysis. The proposed method is probable to motivate decision-makers to consider using a more sophisticated method like PROMETHEE II in supplier evaluation processes. This study opens a new direction for the ranking of suppliers in the field of the supply chain. The study also bears significant practical as well as managerial implications.

Supply chain talent: the missing link in supply chain strategy

2015 ◽  
Vol 47 (5) ◽  
pp. 257-264 ◽  
Author(s):  
Rameshwar Dubey ◽  
Angappa Gunasekaran
Keyword(s):  
Supply Chain ◽  
Cost Effective ◽  
Management Program ◽  
Future Research ◽  
Content Type ◽  
Supply Chain Strategy ◽  
Current State ◽  
Effective Manner ◽  
Future Supply ◽  
The Right

Purpose – The purpose of this paper is to build a supply chain talent framework and test it empirically. Design/methodology/approach – The present study adopts extant literature to understand current state of supply chain talent literature and used knowledge and skill constructs and their items from comprehensive literature review to develop an instrument to gather data. The data are further checked for assumptions and further examines the framework using confirmatory factor analysis. Findings – The findings support previous studies and establishes that knowledge-skill framework is scientifically a strong framework which can help to build current supply chain competencies among future supply chain managers. Research limitations/implications – This study considers only a limited number of variables that define the supply chain talent. The framework can be further developed and extended to different industries and countries. Practical implications – The study identifies knowledge-skill framework which can help to develop a training module for current or aspiring supply chain managers. It also can provide significant input to design university supply chain management program to meet future supply chain manager’s requirements. Social implications – Include providing the right education and training in support of supply chain operations and in turn serving the community with products and services on time and that too in a most cost effective manner. Originality/value – This paper develops a new framework for supply chain talent development. This framework has been empirically tested, and major findings and future research directions are highlighted.

A grey based approach for assessment of risk associated with facility location in global supply chain

2015 ◽  
Vol 5 (3) ◽  
pp. 419-436 ◽  
Author(s):  
Surya Prakash ◽  
Gunjan Soni ◽  
Ajay Pal Singh Rathore
Keyword(s):  
Risk Factors ◽  
Decision Making ◽  
Supply Chain ◽  
Facility Location ◽  
Global Supply Chain ◽  
Final Decision ◽  
Extensive Literature ◽  
Risk Minimization ◽  
Strategic Decisions ◽  
Content Type

Purpose – Facility location decisions are critical and should be taken after strategic evaluations. Globalization and integration of economies make such decisions further complex and risk prone. The purpose of this paper is to identify and assess the risk factors to be considered while taking new facility location decision associated with global supply chain and device the methodology. A grey-based multi-criteria decision-making (MCDM) approach is used for this purpose, which also takes in to account the uncertainty in decision making. Such approach enables final decision to be more real and practical. The paper also highlighted and discussed the criteria on the basis of which the management can select the best suitable site. Design/methodology/approach – The risk factors related to facility location for a global firm are identified. To select the location of a global facility with least risk, grey-based MCDM approach is formulated. This grey-based MCDM is demonstrated using the hypothetical case of an industrial valve manufacturing global firm. The grey approach is used to analyse location alternatives based on various decision criteria for extracting comparative ranking. Findings – The paper presents a tool for strategic and planning level. It helps supply chain managers to identify the risks related to a candidate location. Then it guides the supply chain manager at strategic level to find the least risky location for a manufacturing facility. Practical implications – This paper demonstrates the grey-based MCDM approach for determining less risky location to locate a new manufacturing unit so that practitioners can use this approach for taking other strategic decisions. The supply chain configuration can be decided subsequently which will yield more practical results and the decision taken will be more fruitful for firm. Originality/value – The extensive literature review reveals that there are many models in the literature that addressed the issue of risk minimization in supply chain, but it was also noticed that there are limited number of models that minimize risk in locating a global facility considering the uncertainty of data in decision making. This is the first time that grey-based MCDM approach is formulated and used to find most suitable facility location under risk.

scholarly journals Empirical study of measuring supply chain performance

2015 ◽  
Vol 22 (2) ◽  
pp. 290-308 ◽  
Author(s):  
Ilkka Sillanpää
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Manufacturing Industry ◽  
Case Study Research ◽  
Future Research ◽  
Order Book ◽  
Content Type ◽  
Measurement Framework ◽  
Efficiency And Effectiveness

Purpose – Supply chain (SC) performance measurement – the process of qualifying the efficiency and effectiveness of the SC. The purpose of this paper is to create a SC measurement framework for manufacturing industry, define which data should be measured and verify the measurement framework in the case company’s SC. Design/methodology/approach – There is a review of the current understanding of supply chain management and literature related to SC performance measurement and the study creates a framework for SC measurement. This research is qualitative case study research. Findings – This study presents the main theoretical framework of SC performance measurement. The key elements for the measurement framework were defined as time, profitability, order book analysis and managerial analysis. The measurement framework is tested by measuring case SC performance. Research limitations/implications – In the study, a performance measurement framework was created for the needs of manufacturing industry. Suggestions for future research are multiple case study in different manufacturing industry areas and positivistic-based SC performance research. Practical implications – The measurement framework in this study offers guidelines for measuring the SC in manufacturing industry but the measurement framework could be used in different areas of industry as well. Originality/value – The SC performance measurement framework is tested and a valid framework for SC performance measurement in manufacturing industry.

Competitive priorities and knowledge management

2015 ◽  
Vol 26 (6) ◽  
pp. 791-806 ◽  
Author(s):  
Matloub Hussain ◽  
Mian M. Ajmal ◽  
Mehmood Khan ◽  
Hussein Saber
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
United Arab Emirates ◽  
Future Research ◽  
Customer Focus ◽  
Multi Criteria Decision Making ◽  
Manufacturing Companies ◽  
Global Knowledge ◽  
Competitive Priorities ◽  
Content Type

Purpose – The purpose of this paper is to identify attributes of knowledge management (KM) for large and small manufacturing companies in United Arab Emirates (UAE) and to propose a process to evaluate the competitive priorities of these companies. Design/methodology/approach – This research is designed by composing multi criteria decision making of KM attributes in order to identify competitive priorities of large and small manufacturing companies to achieve better customer focus. To deal with this complexity of multi criteria decision-making process, Analytical Hierarchical Process (AHP) method has been used in this research. Findings – Results show that large manufacturing companies are putting more emphasis on “Know-Why” knowledge attribute in all four competitive priorities for achieving customer focus. While, small size manufacturing companies put higher weight on “Know-What” knowledge attribute by focussing on two competitive priorities (flexibility and quality). Research limitations/implications – Results are derived from a limited number of empirical data only in one country, therefore these cannot be generalized. Future research with larger samples of small and large manufacturing firms from other countries is needed. Practical implications – To be competitive, manufacturing companies must reshuffle their production strategies to allow them to play a role in global knowledge-intensive market. Therefore, they must incorporate knowledge attributes as a way to achieve higher levels of performance. Originality/value – This study is among the first and most exhaustive ones carried out in the small and large size firms operating in the manufacturing sector of UAE. It provides a systematic approach to identify the operational competencies and knowledge attributes being followed by large and small manufacturing companies.

Supplier selection in agile supply chain

2016 ◽  
Vol 23 (7) ◽  
pp. 2027-2060 ◽  
Author(s):  
Chhabi Ram Matawale ◽  
Saurav Datta ◽  
S.S. Mahapatra
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supplier Selection ◽  
Partner Selection ◽  
Fuzzy Topsis ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Agile Supply Chain ◽  
Ranking Order ◽  
Fuzzy Moora

Purpose The recent global market trend is seemed enforcing existing manufacturing organizations (as well as service sectors) to improve existing supply chain systems or to take up/adapt advanced manufacturing strategies for being competitive. The concept of the agile supply chain (ASC) has become increasingly important as a means of achieving a competitive edge in highly turbulent business environments. An ASC is a dynamic alliance of member enterprises, the formation of which is likely to introduce velocity, responsiveness, and flexibility into the manufacturing system. In ASC management, supplier/partner selection is a key strategic concern. Apart from traditional supplier/partner selection criteria; different agility-related criteria/attributes need to be taken under consideration while selecting an appropriate supplier in an ASC. The paper aims to discuss these issues. Design/methodology/approach Therefore, evaluation and selection of potential supplier in an ASC have become an important multi-criteria decision making problem. Most of the evaluation criteria being subjective in nature; traditional decision-making approaches (mostly dealing with objective data) fail to solve this problem. However, fuzzy set theory appears an important mean to tackle with vague and imprecise data given by the experts. In this work, application potential of the fuzzy multi-level multi-criteria decision making (FMLMCDM) approach proposed by Chu and Velásquez (2009) and Chu and Varma (2012) has been examined and compared to that of Fuzzy-techniques for order preference by similarity to ideal solution (TOPSIS) and Fuzzy-MOORA in the context of supplier selection in ASC. Findings It has been observed that similar ranking order appears in FMLMCDM as well as Fuzzy-TOPSIS. In Fuzzy-MOORA, the best alternative appears same as in case of FMLMCDM as well as Fuzzy-TOPSIS; but for other alternatives ranking order differs. A comparative analysis has also been made in view of working principles of FMLMCDM, Fuzzy-TOPSIS as well as Fuzzy-MOORA. Originality/value Application feasibility of FMLMCDM approach has been verified in comparison with Fuzzy-TOPSIS and Fuzzy-MOORA in the context of agile supplier selection.

scholarly journals Multi-criteria decision making for supplier selection: a literature critique

2021 ◽  
Vol 12 (1) ◽  
pp. 329-352
Author(s):  
Hayk Manucharyan
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Supplier Selection ◽  
Future Research ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Chain Management ◽  
Decision Making Processes ◽  
Aid Decision

In contemporary supply chain management, a company’s performance is largely dependent on its strategic choice of suppliers. The complexity of supplier evaluation and selection is driving the development of novel support techniques and their integration into multi-criteria decision-making processes. This review identifies the most prevalent approaches in the supply chain management literature (1998–2018), analyzes the strengths and weaknesses of these approaches, and discusses the most popular supplier selection attributes. The non-conventional, emerging methods in domain literature are also discussed, and future research directions are proposed. Supplier selection approaches are classified into individual, integrated, and non-conventional approaches. To overcome the limitations associated with these tools when used individually, most of the published works have used integrated techniques, among which integrated fuzzy and analytic hierarchy process methods are most popular. We conclude that while some of the methodologies are common, the more non-conventional approaches, such as market utility-based models, are rarely used in the supplier selection literature, leaving much opportunity to further develop these less-used approaches and, ultimately, aid decision-makers in supply chain management.

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