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An improved genetic algorithm for multidimensional optimization of precedence-constrained production planning and scheduling
Dao, Son Duy; Abhary, Kazem; Marian, Romeo - In: Journal of Industrial Engineering International 13 (2017) 2, pp. 143-159
, it requires a multidimensional optimization at the same time: what to make, how many to make, where to make and the order … result on a random graph. In this paper, the further development of Genetic Algorithm (GA) for this integrated optimization … the proposed GA is compared with those of three commercial optimization solvers. …
Persistent link: https://www.econbiz.de/10011773114
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Optimisation of shock absorber process parameters using failure mode and effect analysis and genetic algorithm
Mariajayaprakash, Arokiasamy; Senthilvelan, Thiyagarajan; … - In: Journal of Industrial Engineering International 9 (2013), pp. 1-10
The various process parameters affecting the quality characteristics of the shock absorber during the process were identified using the Ishikawa diagram and by failure mode and effect analysis. The identified process parameters are welding process parameters (squeeze, heat control, wheel speed,...
Persistent link: https://www.econbiz.de/10011551802
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A multiple objective approach for joint ordering and pricing planning problem with stochastic lead times
Hosseini, Zeinab; Yaghin, Reza Ghasemy; Esmaeili, Maryam - In: Journal of Industrial Engineering International 9 (2013), pp. 1-14
multiple-objective optimization model is solved using the weighting method as well as the L-P metric method. Concerning the …
Persistent link: https://www.econbiz.de/10011551812
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Developing and solving two-echelon inventory system for perishable items in a supply chain: Case study (Mashhad Behrouz Company)
AriaNezhad, Mirbahador Gholi; Makuie, Ahmad; … - In: Journal of Industrial Engineering International 9 (2013), pp. 1-10
In this research, a new two-echelon model has been presented to control the inventory of perishable goods. The performance of the model lies in a supply chain and is based on real conditions and data. The main purpose of the model is to minimize the maintenance cost of the entire chain. However,...
Persistent link: https://www.econbiz.de/10011551823
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A new metaheuristic genetic-based placement algorithm for 2D strip packing
Thomas, Jaya; Chaudhari, Narendra S. - In: Journal of Industrial Engineering International 10 (2014), pp. 1-16
no overlapping of blocks. The problem is a complex NP-hard combinatorial optimization, thus a heuristic based on genetic …
Persistent link: https://www.econbiz.de/10011640799
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A production-inventory model with permissible delay incorporating learning effect in random planning horizon using genetic algorithm
Kar, Mohuya B.; Bera, Shankar; Das, Debasis; Kar, Samarjit - In: Journal of Industrial Engineering International 11 (2015), pp. 555-574
This paper presents a production-inventory model for deteriorating items with stock-dependent demand under inflation in a random planning horizon. The supplier offers the retailer fully permissible delay in payment. It is assumed that the time horizon of the business period is random in nature...
Persistent link: https://www.econbiz.de/10011640865
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A genetic algorithm for a bi-objective mathematical model for dynamic virtual cell formation problem
Moradgholi, Mostafa; Paydar, Mohammad Mahdi; Mahdavi, Iraj - In: Journal of Industrial Engineering International 12 (2016), pp. 343-359
Nowadays, with the increasing pressure of the competitive business environment and demand for diverse products, manufacturers are force to seek for solutions that reduce production costs and rise product quality. Cellular manufacturing system (CMS), as a means to this end, has been a point of...
Persistent link: https://www.econbiz.de/10011640898
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Nash equilibrium strategy in the deregulated power industry and comparing its lost welfare with Iran wholesale electricity market
Mousavi, Seyed Hosein; Nazemi, Ali; Hafezalkotob, Ashkan - In: Journal of Industrial Engineering International 12 (2016), pp. 421-435
With the increasing use of different types of auctions in market designing, modeling of participants' behaviors to evaluate the market structure is one of the main discussions in the studies related to the deregulated power industries. In this article, we apply an approach of the optimal bidding...
Persistent link: https://www.econbiz.de/10011640922
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Optimizing the preventive maintenance scheduling by genetic algorithm based on cost and reliability in National Iranian Drilling Company
Javanmard, Habibollah; Koraeizadeh, Abd al-Wahhab - In: Journal of Industrial Engineering International 12 (2016), pp. 509-516
The present research aims at predicting the required activities for preventive maintenance in terms of equipment optimal cost and reliability. The research sample includes all offshore drilling equipment of FATH 59 Derrick Site affiliated with National Iranian Drilling Company. Regarding the...
Persistent link: https://www.econbiz.de/10011640925
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Solving the flexible job shop problem by hybrid metaheuristics-based multiagent model
Nouri, Houssem Eddine; Driss, Olfa Belkahla; Ghédira, … - In: Journal of Industrial Engineering International 14 (2018) 1, pp. 1-14
The flexible job shop scheduling problem (FJSP) is a generalization of the classical job shop scheduling problem that allows to process operations on one machine out of a set of alternative machines. The FJSP is an NP-hard problem consisting of two sub-problems, which are the assignment and the...
Persistent link: https://www.econbiz.de/10011995817