scholarly journals Supplier Selection Process-Towards a Multi-Criteria Decision Making Model for Manned Guarding Services

2017 ◽  
Vol 9 (2) ◽  
pp. 171
Author(s):  
Rui Entradas Silva ◽  
Álvaro Lopes Dias

This study seeks to identify the most important criteria for selecting private security service providers, specifically manned guarding. Previous research on provider selection has been generic focusing on multi-criteria model decision development, but not on the previous stage where industry related criteria should be identified. Given that manned guarding is a service that affects our daily lives, it is important to focus attention on this area of activity. Selecting a private security service provider should therefore be a process in researchers’ agenda. We contribute to the literature by identifying relevant criteria in manned guarding provider selection and by using a methodology than can be applied in other industries to identify sensitive criteria besides traditional factors (eg. price, quality, delivery). We gathered a panel of 15 experts in this field to apply Delphi method by gathering their opinion in ordering the most important criteria to select manned guarding service providers.Results shows price as the most important criterion, but it was closely related to the professional experience of the operations managers (supervisors and directors), the geographic location and the financial stability of the companies.

2021 ◽  
pp. 63-70
Author(s):  
Nejah Ben Mabrouk

The objective of this paper is to examine the determinants of the supplier selection process with green consideration. Thus, this analysis gathers a collection of factors from established literature of green supplier selection (GSS), including seven categories and 58 attributes. The objective of this research is to classify the key factors which are presented as qualitative information. Fuzzy logic rules are used to transform qualitative expert knowledge into numerical data. Then, we adopt the Delphi method (DM) to filter and rate unneeded factors according to their relevance. The results indicate 24 important factors for the GSS process. Five categories are included: Performance and technology ability, Environmental management, Pollution control, Quality and Service. The most significant factors are recognized as green research and development, eco-design, green image, green packaging and remanufacturing. Finally, the debate is held on the basis of the findings and future research are also recognized and stated.


2018 ◽  
Vol 25 (5) ◽  
pp. 1528-1547 ◽  
Author(s):  
Anil Kumar ◽  
Amit Pal ◽  
Ashwani Vohra ◽  
Sachin Gupta ◽  
Suryakant Manchanda ◽  
...  

Purpose Supplier selection for capital procurement is a major strategic decision for any automobile company. The decision determines the success of the company and must be taken systematically with the utmost transparency. The purpose of this paper is to construct capital procurement decision-making model to optimize supplier selection in the Indian automobile industry. Design/methodology/approach To achieve the stated objective, a combined approach of fuzzy theory and AHP-DEMATEL is applied. Evaluation parameters are identified through an extensive literature review and criteria validation has been introduced through a Fuzzy Delphi method by using fuzzy linguistic scales to handle the vagueness of information. AHP is employed to find the priority weight of criteria, although an inter-relationship map among criteria is not possible through AHP alone since it considers all criteria as independent. To overcome this, DEMATEL is used to establish cause-effect relationships among criteria. Findings The results show that the total cost of ownership (TOC) is the first weighted criterion in supplier selection for capital procurement, followed by manufacturing flexibility and maintainability, then conformity with requirement. The cause-effect model shows that supplier profile, TOC, service support and conformity with requirement are in the cause group and are considered to be the most critical factors in selecting the supplier. Originality/value The study’s outcome can help the automobile industry to optimize their selection process in selecting their suppliers for capital procurement; the proposed model can provide guidelines and direction in this regard.


2017 ◽  
Vol 16 (03) ◽  
pp. 625-684 ◽  
Author(s):  
Alireza Shahrasbi ◽  
Mehdi Shamizanjani ◽  
M. H. Alavidoost ◽  
Babak Akhgar

In this study, by analyzing the related literature, the companies providing security services and, more importantly, the data provided by a group of experts, a novel set of 39 criteria is extracted which assists the Managed Security Service Provider (MSSP) selection process. The set is further categorized into eight general classes. The validity and weights of these criteria are measured by a group of experts in Iran. Due to the large number and often conflicting criteria, and the qualitative nature of the evaluations of the service providers, fuzzy multi-criteria decision-making methods (FMCDM) are adopted. In order to demonstrate the application of the proposed model, a numerical example is included, in which eight service providers are evaluated by four decision makers applying fuzzy TOPSIS, fuzzy VIKOR, fuzzy Group ELECTRE, and fuzzy SAW methods. Owing to the variations of the outputs of the applied MCDM methods, they are further analyzed by an aggregation method to propose a unique service provider. A comparison between the output of the aggregation method and the four applied Fuzzy MCDM methods is also made with the help of Euclidean, Hamming, Manhattan and Chebyshev distances. The comparison shows the minimum diversion between the outputs of the Fuzzy TOPSIS and the aggregation method, which indicates the appropriateness of the fuzzy TOPSIS method in this particular problem.


2019 ◽  
Vol 21 (3) ◽  
pp. 351-371
Author(s):  
Anirban Ganguly ◽  
Chitresh Kumar ◽  
Debdeep Chatterjee

Supplier selection is the process by which firms identify, evaluate and contract with suppliers. The supplier selection process deploys a tremendous amount of a firm’s operational and financial resources and is considered as an important determinant of the success of its supply chain. In spite of being strategically important to organizations, the decision for supplier selection is often complex and unstructured. Furthermore, it is inherently a multi-criterion decision-making (MCDM) problem, which pertains to structuring and solving decision problems involving multiple criteria. The paper provides a framework to analyze and evaluate supplier selection in Indian pharmaceutical sector (IPS) using MCDM technique of fuzzy analytic hierarchy process. It intends to improve managerial decision-making in the IPS in developing a supplier selection strategy based on multi-criteria evaluation technique.


Author(s):  
Onita Das ◽  
Aneaka Kellayv

A challenge to environmental protection and the jus post bellum framework is the rise in Private Security Companies and other Private Security Service Providers (PSCs). The marked increase in the outsourcing of vast amounts of operational and logistical work to PSCs have caused key issues around PSC oversight, regulation, and concern around civilian protection linked to environmental issues to arise. Using the Iraq (2003–11) and Afghanistan (2001–14) conflicts as examples, this chapter explores the growth of PSCs, their environmental performance, and reviews the adequacy of legal and policy frameworks that regulate PSCs to ensure the provision of adequate environmental protection as part of jus post bellum in order to contribute to sustainable peace. Areas of law explored include international humanitarian law, international human rights law, binding legislation and soft law specific to PSCs, contract litigation, corporate liability, state and non-state actor obligations in respect to PSCs, and shared responsibility.


Entropy ◽  
2020 ◽  
Vol 22 (2) ◽  
pp. 259 ◽  
Author(s):  
Chun-Ho Chen

The type of criterion weight can be distinguished according to different decision methods. Subjective weights are given by decision makers based on their knowledge, experience, expertise, and other factors. Objective weights are obtained through multi-step calculations of the evaluation matrix constructed from the actual information about the evaluation criteria of the alternatives. A single consideration of these two types of weights often results in biased results. In addition, in order to build an effective supply chain source, buyers must find suitable quality products and/or service providers in the process of supplier selection. Based on the above reasons, it is difficult to accurately select the appropriate alternative. The main contribution of this paper is to combine entropy weight, analytic hierarchy process (AHP) weight, and the technique for order preference by similarity to an ideal solution (TOPSIS) method into a suitable multi-criteria decision making (MCDM) solution. The TOPSIS method is extended with entropy-AHP weights, and entropy-AHP weights are used instead of subjective weights. A novel decision-making model of TOPSIS integrated entropy-AHP weights is proposed to select the appropriate supplier. Finally, we take the selection of building material suppliers as an example and use sensitivity analysis to show that the combination of the TOPSIS method based on entropy-AHP weights can effectively select the appropriate supplier.


2022 ◽  
Vol 5 (1) ◽  
pp. 8
Author(s):  
Wan Yee Leong ◽  
Kuan Yew Wong ◽  
Wai Peng Wong

Unexpected worldwide disruptions brought various challenges to supply chain management thus manipulating the research direction towards resilience. Since the supplier is one of the important supply chain elements, the challenges can be overcome through resilient supplier selection. Supplier selection is a multi-criteria decision-making problem where several criteria are involved. In this study, GRA-BWM-TOPSIS was proposed to evaluate resilient suppliers. Seven resilience criteria which were Quality, Lead Time, Cost, Flexibility, Visibility, Responsiveness and Financial Stability have been proposed and five experts were selected to provide judgments for the selection process. By using the proposed method, the criteria importance levels were obtained using GRA and the criteria weights were computed using BWM, together with a consistency test. TOPSIS was applied to evaluate the suppliers’ performances. Through a case study in a food manufacturing company, 10 suppliers were evaluated and ranked. A validation process was carried out and the managerial implications were provided to ensure the effectiveness of the proposed model. GRA-BWM-TOPSIS is suitable for resilient supplier selection when there are uncertainties and incomplete data.


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