Analysis of Closed Loop Production System Using Orthogonal Array and Integer Programming Optimization
Journal Title: Mehran University Research Journal of Engineering and Technology - Year 2019, Vol 38, Issue 3
Abstract
Sustainable production systems require optimal utilization of resources. Raw material acquisition is one of the costly processes in a production system. EOL (End-of-Life) products re-manufacturing through reverse logistics can help in decreasing excessive raw material cost. In this study, we consider production system of closed loop supply chain in which both forward and reverse production systems are active. DOE (Design of Experiments) methodology is incorporated which is a statistical approach adopted in dealing with complex workplace problems. We employ L9 orthogonal array using Taguchi experiment in Minitab 17 and DOE for plotting the results. Dependent variables used in this study are productivity, P (number of forward and reverse products produced per period) and quality accuracy of product (measured in percent deviation from reference standards). A trade-off analysis between the control variables is presented on the basis of SNR (Signal to Noise Ratio). Control variables used in the analysis are tools employed in production system (tu), number of machines being used (m) and dedicated manufacturing cells (dc). We use three levels of analysis for each control factor. Optimum result conditions are calculated using signal to noise ratio with larger-the-better-criteria as well as smaller-the-better criteria and study is concluded with main effects of the mean plots. DOE optimization analysis for productivity suggests combination set of 32, 8, and 6 for tools, machines in use and manufacturing cells, respectively. Similarly, for optimal dimensional accuracy, tools used are 24; number of machines in use is 14 with 3 manufacturing cells. All result indices are accomplished within a confidence interval of 95% with p-values less than 0.05. MILP (Mixed Integer Linear Programming) analysis considers cost function of production and transportation between tools, machines and levels and Taguchi based experimental findings are validated by mathematical optimization findings.
Authors and Affiliations
A. S. Khan
Keywords
Related Articles
- EP ID EP637104
- DOI 10.22581/muet1982.1903.25
- Views 163
- Downloads 0
Identification of Urdu Ghazal Poets using SVM
Urdu literature has a rich tradition of poetry, with many forms, one of which is Ghazal. Urdu poetry structures are mainly of Arabic origin. It has complex and different sentence structure compared to our daily language...
Development of Entrepreneurial and Marketing Capabilities in Engineering & Technology Based Firms
EM (Entrepreneurial Making) and MC (Marketing Capabilities) play a crucial role in the success of a firm. Many engineering and technology firms are run by people having an engineering degree which have less exposure to m...
Physical and Psychological Responses in a Data Entry Task
Computerized office work is of concern throughout the world in relation to incidence of WRULDs (Work Related Upper Limb Disorders). Both physical and psychosocial may have an influence, although the task does not involve...
Nonholonomic Mobile Robot Trajectory Tracking using Hybrid Controller
A control scheme is being presented for the trajectory tracking of a nonholonomic kinematic model of mobile robots. As a kinematic model of mobile robots is nonlinear in nature, therefore, it is controlling is always bei...
Improved Cooperation in Underwater Wireless Sensor Networks
The WSNs (Wireless Sensor Networks) lead to great opportunities to explore it scientifically. In this network different numbers of SN (Sensor Nodes) are deployed in a specific area to gather information. The UWSNs (Under...