Prioritizing quality dimensions for a Polymer industry using Best-Worst Method.

This research answers the complex decision-making question about identifying the quality dimensions in a polymer industry and to prioritize these quality dimensions to obtain the best quality product with minimum expenditure. This research takes use of expert opinion and right decision-making model to yield an optimal solution which will help the manufacturing plants to reduce wastage and to get a better consistent quality product throughout the production process

IMPLEMENTATION OF ANALYTICAL HIERARCHY PROCESS & BEST WORST METHOD IN SUPPLIER SELECTION

The incompatibility of the quality of the goods sent and the delay in delivery resulted in the company suffering losses and creating an unfavourable image in the company consumer's eyes. Both factors can be caused by error in the supplier selection process of raw material. The purpose of this research is to select the best supplier in the procurement process at the largest paper-producing company in Indonesia, which begins with determining the criteria that influence the selection of suppliers. The Analytical Hierarchy Process and the Best Worst Method were used in this study. Based on 4 personnel in the procurement department, 8 criteria were found for selecting suppliers with 3 alternative suppliers. The selected criteria are: Certificate Quality, Defect Rate, Offer Price, Discounts, Delivery Time, Order Fulfilment, Power Respond, and Work History. The offer price is the most important variable with a weight of 29.3%. Supplier A was selected with a score of 66.78%, while Supplier C became the second alternative priority and Supplier B became the third alternative priority

A Hybrid Fuzzy TOPSIS – Best Worst Method for Risk Prioritization in Megaprojects

Megaprojects are usually complex and in many cases encounter failure in terms of finish late or overspent. This study aims to investigate the critical risk factors behind these projects as well as their priority. Project risk management is a mature research stream. But when focus on megaprojects the amount of research decreases significantly. This research provides a hierarchy of risk structure in Tehran-Rasht railway megaproject and prioritizes the risk factors through a two-phase methodology. This method is a new hybrid MCDM technique consist of group fuzzy TOPSIS and fuzzy Best-Worst Method. BWM is the latest MCDM technique which in this paper, its fuzzy version combined with fuzzy TOPSIS is employed.  This research also considers all the project success criteria including time, cost and quality simultaneously and calculates the risk priority Index (RPI) accordingly. The results imply that quality is the most important project success factor and the risk elements with greater impact on project quality, get higher PRI. The identified and ranked risk factors help practitioners and academics to follow the subsequent steps of the risk management process of Iranian transportation megaprojects

Determining optimal municipal solid waste management scenario based on best-worst method

Municipal solid waste (MSW) management is one of the most important issues in urban environments, especially in developing countries. In this work, a comprehensive assessment framework for MSW management is proposed to evaluate and screen the optimal scenario. The best-worst method (BWM) is utilized to determine the optimal weight of each criterion for each disposal scenario. However, the original BWM model is difficult to be solved globally. A linear model is presented to solve the model and an interval model is employed to verify the optimality of the linear model. The results indicate that the results of the linear model and interval model are consistent. A case study of MSW disposal in Qingdao City is used to demonstrate the application of the proposed method. The results indicate that a combination of landfilling, incineration technology with energy recovery facility is preferred for the current MSW management in Qingdao from the chosen criteria. The framework proposed in this work can be assisted to help the decision-makers to identify the priority sequence of MSW management scenarios

Organisational design practices for achieving environmental sustainability performance: a best-worst method

This study illustrates a ranking of organisational design practices for achieving environmental sustainability performance. Organisations can achieve environmental sustainability with production processes and operations that aim to reduce raw material and energy usage. Thus, organisations may adopt novel technologies and change work practices to achieve such outcomes. To accommo- date such changes, organisations use some organisational design practices. Since there is a lack of studies that summarises such practices illustrating the most im- portant to the least important, I decided to conduct a best-worst method. This method allows a ranking of several criteria that, in the study, are represented by organisational design practices, which are retrieved from the literature. The study results show that the development of the R&D function is the best organisational design practice to achieve environmental sustainability performance

RISK ASSESSMENT IN THE ISLAMIC CLOTHING SUPPLY CHAIN MANAGEMENT USING BEST-WORST METHOD

Almost a quarter of the world's population is Muslim; thus, the Islamic clothing industry is an important global business segment. Despite the immense and emerging market size of the Islamic clothing industry worldwide, there is still a scarcity of research concentrated on Islamic clothing products in the field of supply chain risk management. No previous studies comprehensively examine and provide a systematic agenda to alleviate risks in the Islamic clothing supply chain (ICSC) management. The study presents the best–worst method to examine the ICSC's risks. Through an in-depth literature review and specialists' points of view, the study identifies critical risks in the ICSC and ranks them based on their importance. The proposed findings support corporate leaders, researchers, and policymakers, focusing on the Islamic clothing business, to continually examine the risks significantly influencing their ICSCs. Firms can concentrate on the most significant supply chain risks and build effective alleviation strategies.

Hierarchical Decision-making using a New Mathematical Model based on the Best-worst Method

Decision-making processes in different organizations often have a hierarchical and multilevel structure with various criteria and sub-criteria. The application of hierarchical decision-making has been increased in recent years in many different areas. Researchers have used different hierarchical decision-making methods through mathematical modeling. The best-worst method (BWM) is a multi-criteria evaluation methodology based on pairwise comparisons. In this paper, we introduce a new hierarchical BWM (HBWM) which consists of seven steps. In this new approach, the weights of the criteria and sub-criteria are obtained by using a novel integrated mathematical model. To analyze the proposed model, two numerical examples are provided. To show the performance of the introduced approach, a comparison is also made between the results of the HBWM and BWM methodologies. The analysis demonstrates that HBWM can effectively determine the weights of criteria and sub-criteria through an integrated model

A FBWM-PROMETHEE approach for industrial robot selection

Industrial engineering; Multidisciplinary design optimization; Manufacturing engineering; Technology management; Operations management; Industry management; Business management; Industrialization; Industrial robots; Fuzzy best-worst method; PROMETHEE; MCDM; Robot selection; Criteria.publishersversionpublishe