Multi-criteria decision model for risk prioritisation involving multiple decision-makers: an application of composition of probabilistic preferences combined with FMEA in the supply chain

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ramon Swell Gomes Rodrigues Casado ◽  
Maisa Mendonca Silva ◽  
Lucio Camara Silva
Keyword(s):  
Supply Chain ◽  
Failure Modes ◽  
Decision Makers ◽  
Raw Material ◽  
Uncertain Information ◽  
Content Type ◽  
Multiple Decision Makers ◽  
Proposed Model ◽  
Potential Risks ◽  
Practical Implications

PurposeThe paper aims to propose a multi-criteria model for risk prioritisation associated to supply chain management involving multiple decision-makers.Design/methodology/approachThe model integrates the composition of probabilistic preferences (CPP) on the failure modes analysis and its effects (FMEA) criteria. First, the authors carried out a probabilistic transformation of the numerical evaluations of the multiple decision-makers on the FMEA criteria regarding the internal risks that affect the chain of clothing pole in the Agreste region of Pernambuco. Then, the authors proposed the use of the Kendall's concordance coefficient W to aggregate these evaluations.FindingsContrary to expectations, the two main risks to be investigated as a model suggestion was related to the context of supply chain suppliers and not related to the raw material costs. Besides, a simulation with the traditional FMEA was carried out, and comparing with the model result, the simulation is worth highlighting seven consistent differences along the two rankings.Research limitations/implicationsThe focus was restricted to the use of only internal chain risks.Practical implicationsThe proposed model can contribute to the improvement of the decisions within organisations that make up the chains, thus guaranteeing a better quality in risk management.Originality/valueEstablishing a more effective representation of uncertain information related to traditional FMEA treatment involving multiple decision-makers means identifying in advance the potential risks, providing a better supply chain control.

Blinded by the light? Analyzing sustainability authenticity, customer service perceptions, and halo effects

2019 ◽  
Vol 30 (1) ◽  
pp. 117-139 ◽  
Author(s):  
Clinton Amos ◽  
Sebastian Brockhaus ◽  
Amydee M. Fawcett ◽  
Stanley E. Fawcett ◽  
A. Michael Knemeyer
Keyword(s):  
Supply Chain ◽  
Customer Service ◽  
Design Methodology ◽  
Corporate Sustainability ◽  
A Priori ◽  
Decision Makers ◽  
Behavioral Experiments ◽  
Content Type ◽  
Sustainability Initiatives ◽  
Practical Implications

PurposeThe purpose of this paper is to evaluate how service perceptions influence customer views of the authenticity of corporate sustainability claims. The goal of this paper is to help supply chain decision-makers better understand boundary conditions in order to design more enduring and impactful sustainability programs.Design/methodology/approachThe authors employ behavioral experiments, subjecting two theoretically derived hypotheses to verification across five diverse industries and two distinct sustainability vignettes.FindingsCustomer service perceptions emerge as a significant boundary condition to the perceived authenticity of sustainability efforts. Subjects attributed significantly higher authenticity toward sustainability efforts in above average vs below average service quality contexts. Further, respondents attributed deceptive motivations to sustainability efforts at companies with below average service.Research limitations/implicationsThe authors confirm the underlying tenet of social judgment theory, which suggests thata prioriperceptions create a zone of acceptability or rejection. Ultimately, investing in sustainability can lead to counterproductive cynicism.Practical implicationsThe authors infer that customers’ willingness to give companies credit for sustainability initiatives extends beyond service issues to any practice that influencesa prioriperceptions. Supply chain managers must rethink their role in designing both customer service and sustainability systems to achieve positive returns from sustainability investments.Originality/valueThe authors challenge the assumption that customers universally positively view sustainability efforts. If customers holda priorinegative service perceptions, otherwise well-designed sustainability programs may invoke cynical reactions. Thus, sustainability programs may not inoculate firm reputations from adverse incidents. Given they touch both service and sustainability systems, supply chain managers are positioned to holistically influence their design for competitive advantage.

Much discussed, little conceptualized: supply chain volatility

2018 ◽  
Vol 48 (8) ◽  
pp. 866-886 ◽  
Author(s):  
Benjamin Nitsche ◽  
Christian F. Durach
Keyword(s):  
Supply Chain ◽  
Conceptual Framework ◽  
Q Methodology ◽  
Decision Makers ◽  
Synthesis Process ◽  
Future Research ◽  
Content Type ◽  
Moderating Variables ◽  
Meta Level ◽  
Practical Implications

Purpose A conceptual framework of supply chain volatility (SCV) is developed to help researchers and practitioners converge their discussions and understandings on this vital phenomenon. Sources, dimensions and moderators of SCV are investigated and a conceptual framework is proposed. The paper aims to discuss these issues. Design/methodology/approach Data triangulation was performed through reviewing 2,789 peer-reviewed articles and conducting a group exercise with 23 practitioners. Consequently, 364 sources were identified. Through a structured synthesis process that built on the Q-methodology with multiple academics, a framework of meta-level sources, dimensions and moderators of SCV was developed. An additional on-site meeting with 17 practitioners was conducted aiming at delineating the dimensions by their effect on SCV. Findings The authors propose 20 meta-level sources that contribute to five distinct dimensions of SCV, proposing behavior of customers and decision makers as contextual moderating variables. A classification scheme consisting of three descriptive SCV-affecting characteristics is proposed to delineate the dimension’s effect on SCV: relative deviating impact, repetitiveness and influenceability. Results are summarized in 15 propositions. Research limitations/implications The paper extends knowledge on SCV and provides a coherent conceptualization of the phenomenon for future research. The proposed framework demands quantitative testing to derive more reliable conclusions. Practical implications The framework aims at reducing the gap between research and practice. It helps managers to understand researchers’ discussions and how to derive expedient implications from them. Originality/value It is the first study that systematically synthesizes widely spread literature in this field to derive a conceptual framework that seeks to explain SCV in a holistic way.

A practical supply-demand hub in industrial clusters: a new perspective

2019 ◽  
Vol 42 (1) ◽  
pp. 68-101 ◽  
Author(s):  
Vahid Kayvanfar ◽  
S.M. Moattar Husseini ◽  
Zhang NengSheng ◽  
Behrooz Karimi ◽  
Mohsen S. Sajadieh
Keyword(s):  
Sensitivity Analysis ◽  
Supply Chain ◽  
Raw Materials ◽  
Industrial Clusters ◽  
Computational Time ◽  
Heuristic Procedure ◽  
Content Type ◽  
Proposed Model ◽  
Practical Implications

PurposeThis paper aims to optimize the interactions of businesses located within industrial clusters (ICs) by using a supply-demand hub in ICs (SDHIC) as a conjoint provider of logistics and depository facilities for small- and medium-sized enterprises (SMEs) as producers, where all of these interactions are under supervision of a third-party logistics provider (3PL).Design/methodology/approachTo evaluate the values of SDHIC, three mathematical models are proposed, optimally solved via GAMS and then compared. Also, a “linear relaxation-based heuristic” procedure is proposed to yield a feasible initial solution within a significant shorter computational time. To illustrate the values of SDHIC, comprehensive calculations over a case study and generated sets of instances are conducted, including several sensitivity analysis.FindingsThe experimental results demonstrate the efficiency of SDHIC for SMEs via combining batches and integrating the holding space of inventories, while the outcomes of the case study are aligned with those obtained from random sample examples, which confirms the trueness of used parameters and reveals the applicability of using SDHIC in real world. Finally, several interesting managerial implications for practitioners are extracted and presented.Practical implicationsSome of the managerial and practical implications are optimizing interactions of businesses involved in a supply chain of an IC containing some customers, suppliers and manufacturers and rectifying the present noteworthy gaps pertaining to the previously published research via using real assumptions and merging upstream and downstream of the supply chain through centralizing on storage of raw materials (supply echelon) and finished products (demand echelon) at the same place simultaneously to challenge a classic concept in which supply and demand echelons were being separately planned regarding their inventory management and logistics activities and showing the positive consequences of such challenge, showing the performance improvement of the proposed model compared to the classic model, by increasing the storing cost of raw materials and finished products, considering some disadvantages of using SDHIC and showing the usefulness of SDHIC in total, presenting some applied findings according to the obtained results of sensitivity analysis.Originality/valueThe key contributions of this paper to the literature are suggesting a new applied mathematical methodology to the supply chain (SC) of ICs by means of a conjoint provider of warehousing activities called SDHIC, comparing the new proposed model with the two classic ones and showing the proposed model’s dominancy, showing the helpful outcomes of collaborating 3PL with the SMEs in a cluster, proposing a “linear relaxation-based heuristic” procedure to yield a feasible initial solution within a significant shorter computational time and minimizing total supply chain costs of such IC by optimum application of facilities, lands and labor.

A novel FMEA model based on fuzzy multiple-criteria decision-making methods for risk assessment

2020 ◽  
Vol 33 (5) ◽  
pp. 881-904 ◽  
Author(s):  
Reza Fattahi ◽  
Reza Tavakkoli-Moghaddam ◽  
Mohammad Khalilzadeh ◽  
Nasser Shahsavari-Pour ◽  
Roya Soltani
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Decision Making ◽  
Failure Mode ◽  
Failure Modes ◽  
Multiple Criteria Decision Making ◽  
Decision Makers ◽  
Content Type ◽  
Proposed Model ◽  
Priority Weights

PurposeRisk assessment is a very important step toward managing risks in various organizations and industries. One of the most extensively applied risk assessment techniques is failure mode and effects analysis (FMEA). In this paper, a novel fuzzy multiple-criteria decision-making (MCDM)-based FMEA model is proposed for assessing the risks of different failure modes more accurately.Design/methodology/approachIn this model, the weight of each failure mode is considered instead of risk priority number (RPN). Additionally, three criteria of time, cost and profit are added to the three previous risk factors of occurrence (O), severity (S) and detection (D). Furthermore, the weights of the mentioned criteria and the priority weights of the decision-makers calculated by modified fuzzy AHP and fuzzy weighted MULTIMOORA methods, respectively, are considered in the proposed model. A new ranking method of fuzzy numbers is also utilized in both proposed fuzzy MCDM methods.FindingsTo show the capability and usefulness of the suggested fuzzy MCDM-based FMEA model, Kerman Steel Industries Factory is considered as a case study. Moreover, a sensitivity analysis is conducted for validating the achieved results. Findings indicate that the proposed model is a beneficial and applicable tool for risk assessment.Originality/valueTo the best of authors’ knowledge, no research has considered the weights of failure modes, the weights of risk factors and the priority weights of decision-makers simultaneously in the FMEA method.

scholarly journals Incentive for insincerity – pre-sentence restorative justice: in whose interests?

2015 ◽  
Vol 14 (3) ◽  
pp. 126-137 ◽  
Author(s):  
Gareth Jones ◽  
Sean Creaney
Keyword(s):  
Restorative Justice ◽  
Decision Makers ◽  
Small Scale ◽  
Restorative Practices ◽  
Youth Justice ◽  
Content Type ◽  
Personal Involvement ◽  
Potential Risks ◽  
Depth Interviews ◽  
Practical Implications

Purpose – The purpose of the paper is twofold. First it examines the use of restorative practices in the Youth Justice System. Second the paper seeks to critically assess the benefits of Restorative Justice (RJ) at the pre-sentence stage in England and Wales, particularly in terms of its ethical and practical application. Design/methodology/approach – The paper takes the form of a conceptual analysis. The authors draw principally on the experiences of a small scale pilot into the use of pre-sentence RJ and data from in-depth interviews with one of the pilot sites. A snapshot survey and discussions with a Youth Offending Team piloting pre-sentence RJ was also undertaken. Findings – The authors find that the level of personal involvement of victims in RJ has fallen short of expectations. The authors note that if there is to be reduced stress and trauma for victims participation needs to be independent of coercion or reward. Offenders who are lacking in sincerity should not be coerced or pressured into accepting pre-sentence RJ as this could, despite benign intents, exacerbate feelings of anger and distress for victims. The authors also note the importance of practitioners being properly trained in RJ conferencing as they have a fundamental part to play in mitigating against some of the potential risks. Practical implications – The paper identifies issues and ambiguities with pre-sentence RJ and examines in detail the complexities of working in such an environment. The paper will be of use to local and potentially national decision makers and commissioners of RJ programmes. Originality/value – The authors explore the under researched concept and delivery of pre-sentence RJ.

A supply chain integrity framework for halal food

2017 ◽  
Vol 119 (1) ◽  
pp. 20-38 ◽  
Author(s):  
Mohd Helmi Ali ◽  
Kim Hua Tan ◽  
Md Daud Ismail
Keyword(s):  
Supply Chain ◽  
Design Methodology ◽  
Food Product ◽  
Raw Material ◽  
Content Type ◽  
Four Dimensions ◽  
Controlling Mechanism ◽  
Halal Food ◽  
Food Integrity ◽  
Practical Implications

Purpose The purpose of this paper is to propose a food supply chain (SC) integrity framework in the context of halal food. Design/methodology/approach This paper provides a discussion on the development of food SC integrity framework using triangulation of interviews’ insights with literature. Findings Current industry practices such as standards have not been sufficient in embracing the concept of food SC integrity. As the food SC is complex, food SC integrity framework is proposed as a solution. This paper proposes food SC integrity framework for halal food. It consists of four dimensions, namely: raw material, production, service, and information integrity. In addition, key elements for each dimension are derived from the interviews’ insights. Research limitations/implications The framework provides the evidence that the safeguarding of halal food integrity does not rely solely on certification; but it requires an extensive effort beyond certification. Practical implications Safeguarding of food integrity should involve all stages and actors of the SC. Religious standards should incorporate SC integrity profiling through a controlling mechanism to promote higher food product integrity. Originality/value Food SC integrity framework is important to religious food as it plays a significant role to the population. This study contributes to a newly developed SC integrity framework in the context of halal food.

Business management in the football industry from a supply chain management perspective

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhaleh Memari ◽  
Abbas Rezaei Pandari ◽  
Mohammad Ehsani ◽  
Shokufeh Mahmudi
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Business Management ◽  
Relationship Management ◽  
Flow Management ◽  
Manufacturing Firm ◽  
Chain Management ◽  
Content Type ◽  
Proposed Model ◽  
Football Industry

PurposeTo understand the football industry in its entirety, a supply chain management (SCM) approach is necessary. This includes the study of suppliers, consumers and their collaborations. The purpose of this study was to present a business management model based on supply chain management.Design/methodology/approachData were collected through in-depth interviews with 12 academic and executive football experts. After three steps of open, axial and selective coding based on grounded theory with a paradigmatic approach, the data were analysed, and a football supply chain management (FSCM) was developed. The proposed model includes three managerial components: upstream suppliers, the manufacturing firm, and downstream customers.FindingsThe football industry sector has three parts: upstream suppliers, manufacturing firm/football clubs and downstream customers. We proposed seven parts for the managerial processes of football supply chain management: event/match management, club management, resource and infrastructure management, customer relationship management, supplier relationship management, cash flow management and knowledge and information flow management. This model can be used for configuration, coordination and redesign of business operations as well as the development of models for evaluation of the football supply chain's performance.Originality/valueThe proposed model of a football supply chain management, with the existing literature and theoretical review, created a synergistic outcome. This synergy is presented in the linkage of the players in this chain and interactions between them. This view can improve the management of industry productivity and improve the products quality.

scholarly journals Optimizing a Reverse Supply Chain Network for Electronic Waste under Risk and Uncertain Factors

2021 ◽  
Vol 11 (4) ◽  
pp. 1946
Author(s):  
Linh Thi Truc Doan ◽  
Yousef Amer ◽  
Sang-Heon Lee ◽  
Phan Nguyen Ky Phuc ◽  
Tham Thi Tran
Keyword(s):  
Supply Chain ◽  
Electronic Waste ◽  
Decision Makers ◽  
Reverse Supply Chain ◽  
Satisfactory Solution ◽  
Level Of Satisfaction ◽  
Proposed Model ◽  
Objective Value ◽  
The Right ◽  
The Impact

Minimizing the impact of electronic waste (e-waste) on the environment through designing an effective reverse supply chain (RSC) is attracting the attention of both industry and academia. To obtain this goal, this study strives to develop an e-waste RSC model where the input parameters are fuzzy and risk factors are considered. The problem is then solved through crisp transformation and decision-makers are given the right to choose solutions based on their satisfaction. The result shows that the proposed model provides a practical and satisfactory solution to compromise between the level of satisfaction of constraints and the objective value. This solution includes strategic and operational decisions such as the optimal locations of facilities (i.e., disassembly, repairing, recycling facilities) and the flow quantities in the RSC.

Fusion based learning approach for predicting concrete pouring productivity based on construction and supply parameters

2016 ◽  
Vol 16 (2) ◽  
pp. 185-202 ◽  
Author(s):  
Mojtaba Maghrebi ◽  
Ali Shamsoddini ◽  
S. Travis Waller
Keyword(s):  
Supply Chain ◽  
Production Rate ◽  
Learning Method ◽  
Data Set ◽  
Content Type ◽  
Field Database ◽  
The Stability ◽  
Stable Learning ◽  
Ready Mixed Concrete ◽  
Practical Implications

Purpose The purpose of this paper is to predict the concrete pouring production rate by considering both construction and supply parameters, and by using a more stable learning method. Design/methodology/approach Unlike similar approaches, this paper considers not only construction site parameters, but also supply chain parameters. Machine learner fusion-regression (MLF-R) is used to predict the production rate of concrete pouring tasks. Findings MLF-R is used on a field database including 2,600 deliveries to 507 different locations. The proposed data set and the results are compared with ANN-Gaussian, ANN-Sigmoid and Adaboost.R2 (ANN-Gaussian). The results show better performance of MLF-R obtaining the least root mean square error (RMSE) compared with other methods. Moreover, the RMSEs derived from the predictions by MLF-R in some trials had the least standard deviation, indicating the stability of this approach among similar used approaches. Practical implications The size of the database used in this study is much larger than the size of databases used in previous studies. It helps authors draw their conclusions more confidently and introduce more generalised models that can be used in the ready-mixed concrete industry. Originality/value Introducing a more stable learning method for predicting the concrete pouring production rate helps not only construction parameters, but also traffic and supply chain parameters.

Supply chain practices and organizational performance

2017 ◽  
Vol 28 (1) ◽  
pp. 75-101 ◽  
Author(s):  
Shrikant Gorane ◽  
Ravi Kant
Keyword(s):  
Supply Chain ◽  
Customer Satisfaction ◽  
Financial Performance ◽  
Organizational Performance ◽  
Customer Value ◽  
Structural Equation ◽  
Decision Makers ◽  
Current Status ◽  
Content Type ◽  
Manufacturing Organizations

Purpose The purpose of this paper is to empirically test a framework which identifies the relationships between various supply chain practices (SCPs) and organizational performance (operational performance (OP), customer satisfaction, and financial performance) in the context of Indian manufacturing organizations. Design/methodology/approach From the literature, ten SCPs are selected which finally influences the organizational performance. In order to understand the interactions between SCPs and organizational performance, this paper grouped the ten SCPs into four constructs namely: information and communication technology, supply chain (SC) integration, operational responsiveness, and closed loop green practices. Three levels of firm performance are also examined, including OP, customer satisfaction, and financial performance. The paper-based and web-based survey yielded 292 responses from the Indian manufacturing organizations. The data collected were put through rigorous statistical analysis to test for the content, construct, and criterion-related validity, as well as reliability analyses. Further a structural equation model was developed to test the relationships between SCPs and organizational performance. Findings The finding suggests that a successful SCPs implementation not only improves the OP, but also enhances customer satisfaction and financial performance. In addition, higher financial performance is also attributable to better customer value resulting from the achievement of better customer satisfaction. Research limitations/implications SCPs are complex constructs. While this study shows the effect of broadly accepted SCPs on organizational performance, not all possible practices are covered in this study. Again the study can be further extended to sector specific so that the results can be further refined. Practical implications This is one of the few studies which attempts to investigate whether there is any relationship exits between SCPs and organizational performance. The finding will help decision makers in the organization to know the importance of SCPs and how SCPs influence the organizational performance. Second, this study has developed and validated a multi-dimensional construct of SCPs, which can assist decision makers of Indian organizations to evaluate the competence of their current status of SCPs in the organization. Originality/value As per the knowledge of the authors, this is the first kind of study which empirically investigated the relationships between SCPs and organizational performance in the context of Indian manufacturing organizations.

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