Effect of Time-Varying Factors on Optimal Combination of Quality Inspectors for Offline Inspection Station

Muhammad Babar Ramzan, Shehreyar Mohsin Qureshi, Sonia Irshad Mari, Muhammad Saad Memon, Mandeep Mittal, Muhammad Imran and Muhammad Waqas Iqbal
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Muhammad Babar Ramzan: Department of Garment Manufacturing, National Textile University, Faisalabad 37610, Pakistan
Shehreyar Mohsin Qureshi: Department of Industrial and Manufacturing Engineering, NED University of Engineering and Technology, Karachi 75270, Pakistan
Sonia Irshad Mari: Department of Industrial Engineering and Management, Mehran University of Engineering and Technology, Jamshoro 76062, Pakistan
Mandeep Mittal: Department of Mathematics, Amity Institute of Applied Science, Amity University, Noida 201313, India
Muhammad Imran: Department of Industrial and Management Engineering, Hanyang University, Seoul 15588, Korea
Muhammad Waqas Iqbal: Department of Industrial Engineering, Hongik University, Seoul 04066, Korea

Mathematics, 2019, vol. 7, issue 1, 1-18

Abstract: With advanced manufacturing technology, organizations like to cut their operational cost and improve product quality, yet the importance of human labor is still alive in some manufacturing industries. The performance of human-based systems depends much on the skill of labor that varies person to person within available manpower. Much work has been done on human resource and management, however, allocation of manpower based on their skill yet not investigated. For this purpose, this study considered offline inspection system where inspection is performed by the human labor of varying skill levels. A multi-objective optimization model is proposed based on Time-Varying factors; inspection skill, operation time and learning behavior. Min-max goal programming technique was used to determine the efficient combination of inspectors of each skill level at different time intervals of a running order. The optimized results ensured the achievement of all objectives of inspection station: the cost associated with inspectors, outgoing quality and inspected quantity. The obtained results proved that inspection performance of inspectors improves significantly with learning and revision of allocation of inspectors with the proposed model ensure better utilization of available manpower, maintain good quality and reduce cost as well.

Keywords: human-based production system; offline inspection; optimization; inspection cost; outgoing quality; learning behavior (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2019
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