https://orcid.org/0000-0003-1364-9266
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Abstract
The purpose of this paper is to propose a quantitative method for formulating a manufacturing strategy. It is based on the accepted framework for manufacturing strategy formation containing competitive priorities and manufacturing decisions. The existing literature shows a limited number of papers using quantitative methods for modeling the framework. The proposed method utilizes a combination of three multi-criteria decision making methods (MCDM) to formulate the strategy. They are the fuzzy version of DEMATEL, VIKOR, and AHP. The proposed method supports managers in generating action plans for manufacturing that are aligned with the company’s overall strategy. It also produces a ranking of the plans, so managers can focus on those that are most important for achieving the company’s goals. The contribution of the proposed method is that it captures the priorities and the complex relationships among the factors affecting the manufacturing strategy. From a practical point of view, its value is the support provided for managers in formulating manufacture. It was applied in one company, where managers stated that they found the resulting strategy useful in terms of supporting the company’s objectives.
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Acknowledgments
The authors would like to thank the support of the Direction of Science and Technological Research (Project DICYT N° 061817QL) and the Department of Industrial Engineering, University of Santiago of Chile.
Disclosure Statement
No potential conflict of interest was reported by the author(s).
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Notes on contributors
Luis E. Quezada
Luis E. Quezada (MSc, PhD) is a Professor at the Department of Industrial Engineering of the University of Santiago of Chile. He holds a BSc degree from the University of Chile and a PhD and MSc degree from the University of Nottingham, UK. His research interests include strategic management, operations management and multi-criteria analysis. Currently, he is the president of the International Foundation for Production Research (IFPR).
Héctor A. López-Ospina
Héctor A. López-Ospina (MSc, PhD) is an Assistant Professor at the Facultad de Ingeniería y Ciencias Aplicadas of the Universidad de los Andes, Chile. He is a Mathematician and Msc in Applied Mathematics from the Universidad Nacional de Colombia. He holds a PhD in Engineering Systems from Universidad de Chile. His research interests include mathematical modeling, operations research, optimization and multi-criteria analysis
Juan E. Valenzuela
Juan E. Valenzuela (Msc, PhD (c)) is the managing director of Spaceweare, company dedicated to the development of solution based on artificial intelligence. He holds bachelor degree in Mechanical Engineering and a MSc degree in Industrial Engineering from the University of Santiago of Chile. He is studying a PhD programme in the Pontifical Catholic University of Santiago. His research has been focused on process optimization, systems management, multicriteria analysis and smart cities.
Astrid M. Oddershede
Astrid M. Oddershede (MSc, PhD) is a Professor at the Department of Industrial Engineering of the University of Santiago of Chile. She holds a MSc degree from University of Toronto, Canada and a PhD degree from the University of Newcastle, UK. Her research interests include health management systems and multi-criteria analysis.
Pedro I. Palominos
Pedro I. Palominos (MSc, PhD) is a Professor at the Department of Industrial Engineering and Director of the Smart City Program of the University of Santiago of Chile. He holds a PhD in Industrial Engineering from Technical University of Catalonia, Spain and MS degrees in Federal University of Rio de Janeiro, Brazil. His research interests include operations management, scheduling, smart cities and multi-criteria analysis.