Analyzing alternatives in reverse logistics for end-of-life computers: ANP and balanced scorecard approach |
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| Affiliation: | 1. Department of Management Studies, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110 016, India;2. Department of Manufacturing Engineering, National Institute of Foundry and Forge Technology, Jharkhand State, Ranchi 834003, India;1. Department of Business and Economics, University of Southern Denmark, Denmark;2. Department of Production and Systems Engineering, Federal University of Santa Catarina, Brazil;1. Department of Electrical and Computer Engineering, KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus;2. Business Systems and Analytics Department, La Salle University, Philadelphia, USA;3. Business Information Systems Department, University of Paderborn, Paderborn, Germany;4. Guildhall School of Business and Law, London Metropolitan University, London, UK;5. Operations Research Department, University of Economics in Katowice, Poland;6. Department of Industrial Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran;7. Department of Industrial Engineering, Federal University of Rio Grande Do Sul, Porto Alegre, Brazil;1. Instituto Universitário de Lisboa (ISCTE-IUL), Business Research Unit (BRU), Av. das Forças Armadas, 1649-026 Lisboa, Portugal;2. CMA–FCT, Universidade Nova de Lisboa, Campus da Caparica, 2829-516 Caparica, Portugal;3. CEG–IST, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal;1. Marmara University, Department of Industrial Engineering, 34722 Göztepe, İstanbul, Turkey;2. Istanbul Technical University, Department of Industrial Engineering, 34367 Maçka, İstanbul, Turkey;1. Young Researchers and Elite Club, Department of Industrial Management, Faculty of Management and Accounting, Qazvin Branch, Islamic Azad University (IAU), Qazvin, Iran;2. Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran;3. Department of Business Technology and Entrepreneurship, Swinburne Business School, Swinburne University of Technology, Hawthorn, 3122 VIC, Australia |
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| Abstract: | Activities in reverse logistics activities are extensively practiced by computer hardware industries. One of the important problems faced by the top management in the computer hardware industries is the evaluation of various alternatives for end-of-life (EOL) computers. Analytic network process (ANP) based decision model presented in this paper structures the problem related to options in reverse logistics for EOL computers in a hierarchical form and links the determinants, dimensions, and enablers of the reverse logistics with alternatives available to the decision maker. In the proposed model, the dimensions of reverse logistics for the EOL computers have been taken from four perspectives derived from balanced scorecard approach, viz. customer, internal business, innovation and learning, and finance. The proposed approach, therefore, links the financial and non-financial, tangible and intangible, internal and external factors, thus providing a holistic framework for the selection of an alternative for the reverse logistics operations for EOL computers. Many criteria, sub-criteria, determinants, etc. for the selection of reverse logistics options are interrelated. The ability of ANP to consider interdependencies among and between levels of decision attributes makes it an attractive multi-criteria decision-making tool. Thus, a combination of balanced scorecard and ANP-based approach proposed in this paper provides a more realistic and accurate representation of the problem for conducting reverse logistics operations for EOL computers. |
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