Reengineering the Corporation

Transition from Industry 30 to Industry 40, in other words Industry 35 stage, and moving to a circular economy are two significant concepts for organizations that need to make wholesale alterations to their current systems In order to stay competitive, both these transitions need to follow sustainable resource management and digital transformation principles However, there are barriers to these changes that organizations should consider Both Industry 40 transition, in other words Industry 35, and circularity transition require great efforts to deal with these barriers; in the current environment, organizations need to deal with these barriers simultaneously for more sustainable resource management This study focuses in particular on circular supply chains in the Industry 35 stage There are some studies that suggest barriers to Industry 40 and circular supply chains separately, none of these studies consider them together From this point of view, this study contributes to existing literature by presenting synchronized barriers that integrate circular supply chain and Industry 40 barriers Firstly, pillars of circular supply chains in Industry 40 are explained; synchronized barriers are then presented A decision-making method, Fuzzy Analytical Network Process, is used to prioritize the synchronized barriers, with theoretical and practical implications proposed according to the result of the implementation

Synchronized barriers for circular supply chains in industry 3.5/industry 4.0 transition for sustainable resource management

Analysis of risk priorities for renewable energy investment projects using a hybrid IT2 hesitant fuzzy decision-making approach with alpha cuts

Identifying and prioritizing factors affecting in-cabin passenger comfort on high-speed rail in China: A fuzzy-based linguistic approach

A new integrated MCDM approach for improving QFD based on DEMATEL and extended MULTIMOORA under uncertainty environment

An integration of a QFD model with Fuzzy-ANP approach for determining the importance weights for engineering characteristics of the proposed wheelchair design

http://www.cell.com/article/S2405844022003504/pdf

Applications of MCDM approach (ANP-TOPSIS) to evaluate supply chain solutions in the context of COVID-19

Lean manufacturing (LM), by providing significant advancement in systems performance and efficiency, has recently come to a wide use in industrial environments. LM, providing tools that can target types of waste and improve various aspects of manufacturing systems implementation, uses the application of such tools to improve operational and financial aspects of organizations. Critical decisions with multiple contradictory criteria are associated with lean implementation (LI), leading to a multi-criteria decision making (MCDM) problem. A great deal of work has been directed toward understanding the decision-making process involved in LI process, but with little focus on the role of MCDM involving a LI chain. More than two hundred articles were reviewed and categorized, and the decision-making process as related to LI is structured into three main levels. First, the leanness level should be determined to describe the need for lean tools. Second, based on the leanness level, lean tools can be selected for implementation. Finally, appropriate parameters for the selected tools should be determined. The result of this categorization is a platform providing a comprehensive understanding of full-chain decision-making in LI. In general, adequate quality of decisions should be realized through all levels to ensure efficient LI.

Decision making process in lean assessment and implementation: a review

This paper introduces a new fuzzy advanced harmony search algorithm for solving single-objective buffer allocation problems (BAPs). The proposed algorithm represents the first attempt at solving BAPs using a fuzzy logic system, by tuning the advanced harmony search control parameters. The main steps of the proposed algorithm included parameter initialisation, harmony memory initialisation and evaluation, improvisation, harmony memory update, AHS parameter update, and termination criterion check. The aim of this approach is to achieve a better convergence rate and avoid the stacking of local optima. The performance of the proposed algorithm was compared with other methods used in solving BAPs. The proposed approach has shown a higher capability in finding optimal solutions compared to previous methods used for two benchmark problems. Improvement of up to 94.75% in the overall throughput is reported for the 3-stage problem, while for the 12-stage problem, a slight improvement (up to 7.58%) is also reported in the overall throughput. The results achieved indicate that the proposed algorithm is an efficient and promising tool in solving BAPs.

Mahmoud Z. Mistarihi

Papers

An integration of a QFD model with Fuzzy-ANP approach for determining the importance weights for engineering characteristics of the proposed wheelchair design

Applications of MCDM approach (ANP-TOPSIS) to evaluate supply chain solutions in the context of COVID-19

Decision making process in lean assessment and implementation: a review

Integrating Advanced Harmony Search with Fuzzy Logic for Solving Buffer Allocation Problems

A data set on anthropometric measurements and degree of discomfort of physically disabled workers for ergonomic requirements in work space design.