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Mr. Raja Awais Liaqait
Capital University of Science & Technology

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Research Keywords & Expertise

0 Decision analysis and evaluation
0 multi objective optimization
0 mixed integer linear programming
0 Sustainable supplier selection
0 Multi criteria decision making (MCDM)

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Review
Published: 09 July 2021 in Sustainability
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Scheduling plays a pivotal role in the competitiveness of a job shop facility. The traditional job shop scheduling problem (JSSP) is centralized or semi-distributed. With the advent of Industry 4.0, there has been a paradigm shift in the manufacturing industry from traditional scheduling to smart distributed scheduling (SDS). The implementation of Industry 4.0 results in increased flexibility, high product quality, short lead times, and customized production. Smart/intelligent manufacturing is an integral part of Industry 4.0. The intelligent manufacturing approach converts renewable and nonrenewable resources into intelligent objects capable of sensing, working, and acting in a smart environment to achieve effective scheduling. This paper aims to provide a comprehensive review of centralized and decentralized/distributed JSSP techniques in the context of the Industry 4.0 environment. Firstly, centralized JSSP models and problem-solving methods along with their advantages and limitations are discussed. Secondly, an overview of associated techniques used in the Industry 4.0 environment is presented. The third phase of this paper discusses the transition from traditional job shop scheduling to decentralized JSSP with the aid of the latest research trends in this domain. Finally, this paper highlights futuristic approaches in the JSSP research and application in light of the robustness of JSSP and the current pandemic situation.

ACS Style

Raja Liaqait; Shermeen Hamid; Salman Warsi; Azfar Khalid. A Critical Analysis of Job Shop Scheduling in Context of Industry 4.0. Sustainability 2021, 13, 7684 .

AMA Style

Raja Liaqait, Shermeen Hamid, Salman Warsi, Azfar Khalid. A Critical Analysis of Job Shop Scheduling in Context of Industry 4.0. Sustainability. 2021; 13 (14):7684.

Chicago/Turabian Style

Raja Liaqait; Shermeen Hamid; Salman Warsi; Azfar Khalid. 2021. "A Critical Analysis of Job Shop Scheduling in Context of Industry 4.0." Sustainability 13, no. 14: 7684.

Research article
Published: 05 April 2021 in Engineering Optimization
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With the growing social and environmental concerns, the integration of sustainability in supplier selection and order allocation is of paramount importance. This research presents a holistic multi-phase decision-support framework to solve the sustainable supplier selection and order allocation problem for the multi-echelon supply chain. The framework comprises a multi-objective mixed-integer nonlinear programming mathematical model augmented with fuzzy multi-criteria decision making techniques and forecast demand. The various economic, environmental and social objectives were optimized for a multi-modal transportation network of a multi-echelon supply chain. The results of the mathematical model highlighted the impact of multi-modal transportation on the total cost and total travel time. The results also demonstrated the relationship between the multi-modal transport network and the environmental impact of the supply chain. The proposed multi-phase holistic decision support framework can be used in the comprehensive sustainability-based analysis of supply chains. GRAPHICAL ABSTRACT

ACS Style

Raja Awais Liaqait; Salman Sagheer Warsi; Mujtaba Hassan Agha; Taiba Zahid; Till Becker. A multi-criteria decision framework for sustainable supplier selection and order allocation using multi-objective optimization and fuzzy approach. Engineering Optimization 2021, 1 -22.

AMA Style

Raja Awais Liaqait, Salman Sagheer Warsi, Mujtaba Hassan Agha, Taiba Zahid, Till Becker. A multi-criteria decision framework for sustainable supplier selection and order allocation using multi-objective optimization and fuzzy approach. Engineering Optimization. 2021; ():1-22.

Chicago/Turabian Style

Raja Awais Liaqait; Salman Sagheer Warsi; Mujtaba Hassan Agha; Taiba Zahid; Till Becker. 2021. "A multi-criteria decision framework for sustainable supplier selection and order allocation using multi-objective optimization and fuzzy approach." Engineering Optimization , no. : 1-22.