European Journal of Operational Research, Apr 1, 2005
This research studies the assembly-type supply chain system controlled by kanban mechanism. First... more This research studies the assembly-type supply chain system controlled by kanban mechanism. First, a supply chain system is modeled as a mixed-integer nonlinear programming (MINLP) problem. A composite formulation of the assembly-type supply ...
International Journal of Production Research, 2000
For more than three decades, similarity coe cient measuresÐone of the import-ant tools for solvin... more For more than three decades, similarity coe cient measuresÐone of the import-ant tools for solving group technology problemsÐhave gained the attention of the research community in cellular manufacturing systems. A new similarity coe cient measure that uses a set of important ...
Renewable energy contributes to the energy portfolios of many countries. One form of renewable en... more Renewable energy contributes to the energy portfolios of many countries. One form of renewable energy is syngas which is generated from bio-residues. The focus of this paper is the biomass transportation and conversion network that covers the entire syngas (synthesis gas) production process from different biomass feedstocks to the end products. Specifically, we focus on the resource planning and management problem (a) to allocate different feedstocks to anaerobic digesters (reactors), (b) to determine number and locations of reactors in each region, (c) to determine number and locations of the condensers to liquefy syngas, and finally (d) to determine distribution network of syngas to demand points. We developed a mixed-integer, non-linear programming (MINLP) cost model to describe this resource planning wherein the constrained cost is minimized to find the optimal solutions for reactors and condensers locations. We identify optimal allocation of feedstocks to all reactors and the distribution of liquefied gas to distribution centers. We propose a new algorithm to search for an alternative between two sub-problems of the original MINLP. We verify the convergence of the algorithm to an optimal or sub-optimal solution by conducting various sets of numerical experiments using some real-world parameters.
In a vendor-buyer cooperative inventory system several factors including planned shortage, contro... more In a vendor-buyer cooperative inventory system several factors including planned shortage, controlled sales price, shipment size and frequency affect the total profit. Though a larger order size reduces the number of shipments, it conversely increases the lead time and transportation cost. On the other hand, planned shortage of items reduces the buyer’s storage cost; at the same time it increases the backorder cost for the buyer. By controlling sales price, the buyer can affect the rate of market demand which eventually affects the total profit. The problem is to find an appropriate sales price, backorder quantity, ordering size and frequency that lead to maximum joint total profit. Considering all of these aspects for an imperfect production system, this paper presents two joint total profit models for two different cases depending on the location of the quality inspection. A search approach, based on random walk with random restart method, is used to solve both models for obtainin...
Journal of Industrial Engineering and Management, 2020
Purpose: A supply chain consists of raw material suppliers, manufacturers and retailers where inv... more Purpose: A supply chain consists of raw material suppliers, manufacturers and retailers where inventory of raw materials and finished goods are involved, respectively. Therefore, it is important to find optimal solutions, which are beneficial for both supplier, manufacturer and retailer.Design/methodology/approach: This research focuses on a semi-continuous manufacturing facility by assuming that the production of succeeding cycle starts immediately after the production of preceding cycle. In reality, the inventory of a supply chain system may not be completely empty. A number of products may be left over after the deliveries are made. These leftover inventories are added to the next shipment after the production of required amount to makeup a complete batch for shipment. Therefore, it is extremely important to search for an optimal strategies for these types production facilities where leftover finished goods inventory remains after the final shipment in a production cycle. Conside...
International Journal of Production Research, 2015
This research studies the optimal decision for product pricing, production lot sizing in a multi-... more This research studies the optimal decision for product pricing, production lot sizing in a multi-stage serial just-in-time production system with kanban-controlled policy. A decentralised decision model and a centralised decision model of this problem are formulated as a mixed-integer nonlinear programming problem. In order to solve the models, three algorithms are developed. The first one is an approximate procedure which solves the decentralised decision model; the second one is a proximate optimal procedure using two-phase search technique that solves the centralised decision model, and the third one is an approximate method using meta-heuristic technique which is used for both decentralised and centralised models. Numerical example shows that centralised decision can obtain higher economic benefit with lower cost and higher revenue and profit. Meanwhile, when demand is more price sensitive, centralised decision can achieve significant profit enhancement. Computational results attribute to different characteristics of the problem and solution superiority.
International Journal of Production Research, 2015
This research studies the optimal decision for product pricing, production lot sizing in a multi-... more This research studies the optimal decision for product pricing, production lot sizing in a multi-stage serial just-in-time production system with kanban-controlled policy. A decentralised decision model and a centralised decision model of this problem are formulated as a mixed-integer nonlinear programming problem. In order to solve the models, three algorithms are developed. The first one is an approximate procedure which solves the decentralised decision model; the second one is a proximate optimal procedure using two-phase search technique that solves the centralised decision model, and the third one is an approximate method using meta-heuristic technique which is used for both decentralised and centralised models. Numerical example shows that centralised decision can obtain higher economic benefit with lower cost and higher revenue and profit. Meanwhile, when demand is more price sensitive, centralised decision can achieve significant profit enhancement. Computational results attribute to different characteristics of the problem and solution superiority.
European Journal of Operational Research, Apr 1, 2005
This research studies the assembly-type supply chain system controlled by kanban mechanism. First... more This research studies the assembly-type supply chain system controlled by kanban mechanism. First, a supply chain system is modeled as a mixed-integer nonlinear programming (MINLP) problem. A composite formulation of the assembly-type supply ...
International Journal of Production Research, 2000
For more than three decades, similarity coe cient measuresÐone of the import-ant tools for solvin... more For more than three decades, similarity coe cient measuresÐone of the import-ant tools for solving group technology problemsÐhave gained the attention of the research community in cellular manufacturing systems. A new similarity coe cient measure that uses a set of important ...
Renewable energy contributes to the energy portfolios of many countries. One form of renewable en... more Renewable energy contributes to the energy portfolios of many countries. One form of renewable energy is syngas which is generated from bio-residues. The focus of this paper is the biomass transportation and conversion network that covers the entire syngas (synthesis gas) production process from different biomass feedstocks to the end products. Specifically, we focus on the resource planning and management problem (a) to allocate different feedstocks to anaerobic digesters (reactors), (b) to determine number and locations of reactors in each region, (c) to determine number and locations of the condensers to liquefy syngas, and finally (d) to determine distribution network of syngas to demand points. We developed a mixed-integer, non-linear programming (MINLP) cost model to describe this resource planning wherein the constrained cost is minimized to find the optimal solutions for reactors and condensers locations. We identify optimal allocation of feedstocks to all reactors and the distribution of liquefied gas to distribution centers. We propose a new algorithm to search for an alternative between two sub-problems of the original MINLP. We verify the convergence of the algorithm to an optimal or sub-optimal solution by conducting various sets of numerical experiments using some real-world parameters.
In a vendor-buyer cooperative inventory system several factors including planned shortage, contro... more In a vendor-buyer cooperative inventory system several factors including planned shortage, controlled sales price, shipment size and frequency affect the total profit. Though a larger order size reduces the number of shipments, it conversely increases the lead time and transportation cost. On the other hand, planned shortage of items reduces the buyer’s storage cost; at the same time it increases the backorder cost for the buyer. By controlling sales price, the buyer can affect the rate of market demand which eventually affects the total profit. The problem is to find an appropriate sales price, backorder quantity, ordering size and frequency that lead to maximum joint total profit. Considering all of these aspects for an imperfect production system, this paper presents two joint total profit models for two different cases depending on the location of the quality inspection. A search approach, based on random walk with random restart method, is used to solve both models for obtainin...
Journal of Industrial Engineering and Management, 2020
Purpose: A supply chain consists of raw material suppliers, manufacturers and retailers where inv... more Purpose: A supply chain consists of raw material suppliers, manufacturers and retailers where inventory of raw materials and finished goods are involved, respectively. Therefore, it is important to find optimal solutions, which are beneficial for both supplier, manufacturer and retailer.Design/methodology/approach: This research focuses on a semi-continuous manufacturing facility by assuming that the production of succeeding cycle starts immediately after the production of preceding cycle. In reality, the inventory of a supply chain system may not be completely empty. A number of products may be left over after the deliveries are made. These leftover inventories are added to the next shipment after the production of required amount to makeup a complete batch for shipment. Therefore, it is extremely important to search for an optimal strategies for these types production facilities where leftover finished goods inventory remains after the final shipment in a production cycle. Conside...
International Journal of Production Research, 2015
This research studies the optimal decision for product pricing, production lot sizing in a multi-... more This research studies the optimal decision for product pricing, production lot sizing in a multi-stage serial just-in-time production system with kanban-controlled policy. A decentralised decision model and a centralised decision model of this problem are formulated as a mixed-integer nonlinear programming problem. In order to solve the models, three algorithms are developed. The first one is an approximate procedure which solves the decentralised decision model; the second one is a proximate optimal procedure using two-phase search technique that solves the centralised decision model, and the third one is an approximate method using meta-heuristic technique which is used for both decentralised and centralised models. Numerical example shows that centralised decision can obtain higher economic benefit with lower cost and higher revenue and profit. Meanwhile, when demand is more price sensitive, centralised decision can achieve significant profit enhancement. Computational results attribute to different characteristics of the problem and solution superiority.
International Journal of Production Research, 2015
This research studies the optimal decision for product pricing, production lot sizing in a multi-... more This research studies the optimal decision for product pricing, production lot sizing in a multi-stage serial just-in-time production system with kanban-controlled policy. A decentralised decision model and a centralised decision model of this problem are formulated as a mixed-integer nonlinear programming problem. In order to solve the models, three algorithms are developed. The first one is an approximate procedure which solves the decentralised decision model; the second one is a proximate optimal procedure using two-phase search technique that solves the centralised decision model, and the third one is an approximate method using meta-heuristic technique which is used for both decentralised and centralised models. Numerical example shows that centralised decision can obtain higher economic benefit with lower cost and higher revenue and profit. Meanwhile, when demand is more price sensitive, centralised decision can achieve significant profit enhancement. Computational results attribute to different characteristics of the problem and solution superiority.
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Papers by Bhaba Sarker