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Engr. Muhammad Zubair is currently a PhD student at the Department of Industrial Engineering, University of Engineering & Technology, Peshawar, Pakistan. He is also working as a Lab Engineer at the Department of Industrial Engineering, UET Peshawar, Jalozai Campus for the last five years. Before that, he also worked as a Production Engineer at Lowitt Pharmaceuticals Pvt. Ltd. Peshawar where he gained experience in applied engineering problems. He has almost 6 years of teaching, research, and administrative experience. His research interest includes Materials Engineering, Additive Manufacturing, Human Factors and Ergonomics, Quality Control and Manufacturing Systems Design.
Published: (Jan. 1, 2021)
In the current study, minimization of waste in terms of sack rejection at a polypropylene bag manufacturing process is achieved. The Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) approach is adopted which results in 50% waste reduction and a considerable cost saving. The sack rejection is brought to 1.20% from the previous average waste of 2.80% using DMAIC. It is found that this high rejection rate of 2.80% is due to the low fabric strength obtained at the weaving section, which in turn occurred due to the lower tape tenacity values obtained from the extrusion section. Hence, experimental design is conducted at the extrusion department and it is found that the two interacting factors are playing a significant contribution to the process variation and hence result in lower tape-tenacity (i.e., less than 6 g/denier). The two interacting factors included the “water bath temperature” and “line speed” of the …
Published: (Aug. 15, 2019)
In today’s competitive world, it is very difficult and complex task to select one alternative from different sets of alternatives especially when the data are vague and inexact. This paper focuses on the application of one of multi-criteria decision making tools called the Analytical Hierarchy Process (AHP) for the selection of material handling equipment at a local industry in order to optimize the material handling system. Questionnaires were developed and distributed among experts, employees and workers working in the industry. Measure of central tendency (Mean) calculated from the data was used as an input for pair-wise exchange matrix. The selection was subject to four criteria with each having three subcriteria. The overall results showed that AGV’s are more significant for material handling in a pharmaceutical industry as compared to forklift and conveyor belt.
