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- Production engineering (15)
- Disassembly (13)
- Recycling (Waste (etc.)) (9)
- End of life products (5)
- Kanban system (5)
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- End-of-life processing (4)
- Reverse supply chain (4)
- Disassembly-to-order (3)
- Disassembly line balancing (2)
- Manufacturing systems (2)
- Material requirements planning (MRP) (2)
- Product life cycle (2)
- Product recovery (2)
- Second-hand markets (2)
- Sensor embedded products (2)
- Strategic planning (2)
- Dynamic Kanban System for Disassembly Line (DKSDL) (1)
- multi-kanban system (MKS) (1)
- Dynamic Kanban System for Disassembly Line (DKSDL) (1)
- Modified Kanban System for Disassembly Line (MKSDL) (1)
- end-of-life (EOL) (1)
- fuzzy Analytic Hierarchy Process (AHP) (1)
- Disassembly-to-order (DTO) (1)
- Generalized stochastic petrinet (GSPN) (1)
- Advanced disassembly/repair-to-order (1)
- Automobile industry (1)
- Borda's choice rule (1)
- Building safety (1)
- Building sites--Safety measures (1)
- China (1)
Articles 31 - 37 of 37
Full-Text Articles in Engineering
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 …
Uncertainty And Back-Ordering In Multi-Level Product Structures, Surendra Gupta, Louis Brennan
Uncertainty And Back-Ordering In Multi-Level Product Structures, Surendra Gupta, Louis Brennan
Surendra M. Gupta
The influence of uncertainty on the performance of Material Requirements Planning (MRP) systems has been the focus of several studies. All of these studies have incorporated non back-order lot sizing rules. However, attention has been recently directed to back-order lot sizing rules. This paper considers the impact of the presence of both supply and demand uncertainties on the performance of MRP systems in an environment where back-orders are planned. The word reported here is based on a simulation study involving a variety of supply and demand conditions. The study establishes the significance of product structure shape and variant, lot sizing …
Decision Support System For Emergency Egress Legislation, Surendra Gupta, Geoffrey Berlin
Decision Support System For Emergency Egress Legislation, Surendra Gupta, Geoffrey Berlin
Surendra M. Gupta
Evaluation of building safety usually covers two broad aspects, viz. structural dependability and occupant safety. The first lends itself to convenient assessment since it is relatively easier to obtain extensive empirical evidence of materials and structural components. The variation of actual results from estimates may be expected to be low because most materials obey well known physical laws. Thus, strict codes are more readily conceptualized and accepted.
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.
2-Opt Heuristic For The Disassembly Line Balancing Problem, Seamus Mcgovern, Surendra Gupta
2-Opt Heuristic For The Disassembly Line Balancing Problem, Seamus Mcgovern, Surendra Gupta
Surendra M. Gupta
Disassembly activities are an important part of product recovery operations. The disassembly line is the best choice for automated disassembly of returned products. However, finding the optimal balance for a disassembly line is computationally intensive with exhaustive search quickly becoming prohibitively large. In this paper, a greedy algorithm is presented for obtaining optimal or near-optimal solutions to the disassembly line-balancing problem. The greedy algorithm is a first-fit decreasing algorithm further enhanced to preserve precedence relationships. The algorithm seeks to minimize the number of workstations while addressing hazardous and high demand components. A two optimal algorithm is then developed to balance …
Pricing Decisions For Product Recovery Facilities In A Multi-Criteria Setting Using Genetic Algorithms, Surendra Gupta, Srikanth Vadde, Sagar Kamarthi
Pricing Decisions For Product Recovery Facilities In A Multi-Criteria Setting Using Genetic Algorithms, Surendra Gupta, Srikanth Vadde, Sagar Kamarthi
Surendra M. Gupta
Independent and small scale product recovery facilities (PRFs) often struggle to achieve profits when faced with inconsistent inflows of discarded products, varying demand patterns for recovered components, and stringent environmental regulations. Inconsistent inflows coupled with the varying demand cause undue fluctuations in inventory levels and frequently affect costs involved in product recovery operations. An effective pricing strategy can stabilize the fluctuations in demand and consequently can allow PRFs to control inventory levels. This research determines the prices of reusable and recyclable components and acquisition price of discarded products that allow PRFs to simultaneously maximize their financial returns and minimize the …
Genetic Algorithm For Disassembly Process Planning, Surendra Gupta
Genetic Algorithm For Disassembly Process Planning, Surendra Gupta
Surendra M. Gupta
When a product reaches it's end-of-life, there are several options available for processing it including reuse, remanufacturing, recycling, and disposing (the least desirable option). In almost all cases, a certain level of disassembly may be necessary. Thus, finding an optimal (or near optimal) disassembly sequence is crucial to increasing the efficiency of the process. Disassembly operations are labor intensive, can be costly, have unique characteristics and cannot be considered as reverse of assembly operations. Since the complexity of determining the best disassembly sequence increases with the increase in the number of parts of the product, it is extremely crucial that …