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Research trends in combinatorial optimization

Weinand, Jann Michael; Sörensen, Kenneth; San Segundo, … - In: International Transactions in Operational Research 29 (2021) 2, pp. 667-705

or enhancement of metaheuristics like genetic algorithms. The increasingly problem‐oriented studies deal particularly …

Persistent link: https://www.econbiz.de/10014485892

Stochastic mixed model sequencing with multiple stations using reinforcement learning and probability quantiles

Brammer, Janis; Lutz, Bernhard; Neumann, Dirk - In: OR Spectrum 44 (2021) 1, pp. 29-56

In this study, we propose a reinforcement learning (RL) approach for minimizing the number of work overload situations in the mixed model sequencing (MMS) problem with stochastic processing times. The learning environment simulates stochastic processing times and penalizes work overloads with...

Persistent link: https://www.econbiz.de/10014497560

A review of simheuristics: Extending metaheuristics to deal with stochastic combinatorial optimization problems

Juan, Angel A.; Faulin, Javier; Grasman, Scott E.; … - In: Operations Research Perspectives 2 (2015), pp. 62-72

the use of metaheuristic algorithms. Metaheuristics benefit from different random-search and parallelization paradigms … that allows for extending metaheuristics through simulation to solve stochastic COPs. ‘Simheuristics' allow modelers for …-driven framework. These optimization-driven algorithms rely on the fact that efficient metaheuristics already exist for the …

Persistent link: https://www.econbiz.de/10011825912

Resource leveling scheduling by an ant colony-based model

Garmsiri, Mohsen; Abassi, Mohammad - In: Journal of Industrial Engineering International 8 (2012), pp. 1-9

In project scheduling, many problems can arise when resource fluctuations are beyond acceptable limits. To overcome this, mathematical techniques have been developed for leveling resources. However, these produce a hard and inflexible approach in scheduling projects. The authors propose a simple...

Persistent link: https://www.econbiz.de/10010317842

Adaptive large neighborhood search for a production planning problem arising in pig farming

Golinska-Dawson, Paulina - In: Journal of Open Innovation: Technology, Market, and … 5 (2019) 2, pp. 1-21

This article aims to resolve a particular production planning and workforce assignment problem. Many production lines may have different production capacities while producing the same product. Each production line is composed of three production stages, and each stage requires different periods...

Persistent link: https://www.econbiz.de/10012620240

Metaheuristics for the Order Batching Problem in Manual Order Picking Systems

Henn, Sebastian; Koch, Sören; Doerner, Karl F.; … - In: BuR - Business Research 3 (2010) 1, pp. 82-105

In manual order picking systems, order pickers walk or drive through a distribution warehouse in order to collect items which are requested by (internal or external) customers. In order to perform these operations efficiently, it is usually required that customer orders are combined into (more...

Persistent link: https://www.econbiz.de/10010421349

Comparative study of heuristics algorithms in solving flexible job shop scheduling problem with condition based maintenance

Zheng, Yahong; Lian, Lian; Mesghouni, Khaled - In: Journal of Industrial Engineering and Management (JIEM) 7 (2014) 2, pp. 518-531

Purpose: This paper focuses on a classic optimization problem in operations research, the flexible job shop scheduling problem (FJSP), to discuss the method to deal with uncertainty in a manufacturing system. Design/methodology/approach: In this paper, condition based maintenance (CBM), a kind...

Persistent link: https://www.econbiz.de/10011939133

General form of a cooperative gradual maximal covering location problem

Bagherinejad, Jafar; Bashiri, Mahdi; Nikzad, Hamideh - In: Journal of Industrial Engineering International 14 (2018) 2, pp. 241-253

Cooperative and gradual covering are two new methods for developing covering location models. In this paper, a cooperative maximal covering location-allocation model is developed (CMCLAP). In addition, both cooperative and gradual covering concepts are applied to the maximal covering location...

Persistent link: https://www.econbiz.de/10011995834

Cuckoo search via Levy flights applied to uncapacitated facility location problem

Mesa, Armacheska; Castromayor, Kris; … - In: Journal of Industrial Engineering International 14 (2018) 3, pp. 585-592

Facility location problem (FLP) is a mathematical way to optimally locate facilities within a set of candidates to satisfy the requirements of a given set of clients. This study addressed the uncapacitated FLP as it assures that the capacity of every selected facility is finite. Thus, even if...

Persistent link: https://www.econbiz.de/10011995856

A new optimization technique for the location and routing management in agricultural logistics

Kosacka-Olejnik, Monika - In: Journal of Open Innovation: Technology, Market, and … 6 (2020) 1, pp. 1-21

This paper aims to solve the location and routing problem (LRP) in the agricultural sector with the objective function of fuel cost minimization. Many farmers may have problems when transporting and selling products because of high costs and unfair prices. The proper location of standardized...

Persistent link: https://www.econbiz.de/10012620320