Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 5 of 5
Full-Text Articles in Engineering
A Multi-Kanban Model For Disassembly, Surendra Gupta, Gun Udomsawat, Sagar Kamarthi
A Multi-Kanban Model For Disassembly, Surendra Gupta, Gun Udomsawat, Sagar Kamarthi
Surendra M. Gupta
In this paper we demonstrate how kanbans can be used in a disassembly line setting. Disassembly line is quite different from assembly line in terms of material movement, demand arrival and inventory level fluctuation. We discuss these differences and introduce the concept of a multi-kanban mechanism to cope with them. With the help of a simulation model (developed using the ARENA software), we show that the modified kanban mechanism is in fact an effective tool for a disassembly line setting. An example is presented to illustrate the concept.
Calculating Disassembly Yields In A Multi-Criteria Decision Making Environment For A Disassembly To Order System, Surendra Gupta, Prasit Imtanavanich
Calculating Disassembly Yields In A Multi-Criteria Decision Making Environment For A Disassembly To Order System, Surendra Gupta, Prasit Imtanavanich
Surendra M. Gupta
In this paper, we consider the disassembly-to-order (DTO) problem, where a variety of returned products are disassembled to fulfill the demand for specified numbers of components and materials. The objective is to determine the optimal numbers of returned products to disassemble so as to maximize profit and minimize costs. We model the DTO problem using a multi-criteria decision making approach. Since the condition of returned products are unknown, the yields from disassembly are considered to be stochastic. To solve the stochastic problem, we use one of two heuristic approaches (viz., one-to-one approach or one-to-many approach) that convert the problem into …
Multi-Criteria Ant System And Genetic Algorithm For End-Of-Life Decision Making, Surendra Gupta, Seamus Mcgovern
Multi-Criteria Ant System And Genetic Algorithm For End-Of-Life Decision Making, Surendra Gupta, Seamus Mcgovern
Surendra M. Gupta
Disassembly takes place in remanufacturing, recycling, and disposal with a line being the best choice for automation. The disassembly line balancing problem seeks a sequence which: is feasible, minimizes workstations, and ensures similar idle times, as well as other, disassembly-specific concerns. Finding the optimal balance is computationally intensive due to factorial growth. Ant colony optimization and genetic algorithm metaheuristics are presented and compared along with an exa mple to illustrate the implementation. Conclusions drawn include the consistent generation of optimal or near-optimal solutions, the ability to preserve precedence, the speed of the metaheuristics, and their practicality due to ease of …
Determination Of Base Kanban Level For Multi-Kanban Mechanism In A Disassembly Line, Surendra Gupta, Gun Udomsawat
Determination Of Base Kanban Level For Multi-Kanban Mechanism In A Disassembly Line, Surendra Gupta, Gun Udomsawat
Surendra M. Gupta
In this paper, we propose an application of a pull type production control mechanism for a disassembly line setting. We discuss complications and justify the use of pull type mechanism in a disassembly line. We introduce a multikanban mechanism for a multi-product disassembly line where demand for components can arrive at any level. We define the kanban routing rules to minimize the inventory of a system while maintaining a customer service level comparable to a push system. We suggest a method of determining the proper number of base kanbans and demonstrate its effectiveness by using a simulation model and implementing …
A Single Stage Kanban Control System With Static Routing, Surendra Gupta, Aybek Korugan
A Single Stage Kanban Control System With Static Routing, Surendra Gupta, Aybek Korugan
Surendra M. Gupta
We consider a system with two discrete production lines where the output of each one can fulfill the demand for the same type of product. An example to this case is the hybrid-manufacturing environment, where a company manufactures new products and remanufactures returned products to meet the demand. The interarrival times for demand occurrences and service completions are exponentially distributed i.i.d. variables. Here, a single stage pull production control with two types of kanbans is utilized to model the system where a kanban type is dedicated for either manufacturing or remanufacturing process.