The paper describes one of the most researched techniques in solving Constraint Satisfaction Problems (CSPs) searching which is well-suited for declarative (non-procedural) implementation in a new programming paradigm named Control Network Programming, and how this can be achieved using the tools for dynamic computation control. Some heuristics for variable and value ordering in backtracking al...

This paper address a special class of generalized assembly line balancing in which it is assumed that there are two groups of workers: skilled and unskilled ones. The skilled workers are hired permanently while the unskilled ones can be hired temporarily in order to meet the seasonal demands. It is also assumed that more than one worker may be assigned to each workstation. To show the adv...

This paper presents a new mathematical programming model for the bi-criteria mixed-model assembly line balancing problem in a just-in-time (JIT) production system. There is a set of criteria to judge sequences of the product mix in terms of the effective utilization of the system. The primary goal of this model is to minimize the setup cost and the stoppage assembly line cost, simultaneously. B...

Finding the location for plans like factories or warehousesfor any organization is an important and strategic decision. Costs oftransportation which are the main part of the price of the goods, is thefunction of the location of these projects. to find the optimum locationof these projects, there have been various methods proposed which areusually defined (not random). In reality and in dealing ...

Stochastic dynamic programming models are extensively used for sequential decision making when outcomes are uncertain. These models have been widely applied in different business contexts such as inventory control, capacity expansion, cash management, etc. The objective in these models is to deduce optimal policies based on expected reward criteria. However, in many cases, managers are concerne...

Stochastic scheduling problems are difficult stochastic control problems with combinatorial decision spaces. In this paper we focus on a class of stochastic scheduling problems, the quiz problem and its variations. We discuss the use of heuristics for their solution, and we propose rollout algorithms based on these heuristics, which approximate the stochastic dynamic programming algorithm. We s...

In this paper, a comprehensive mathematical model for designing an electric power supply chain network via considering preventive maintenance under risk of network failures is proposed. The risk of capacity disruption of the distribution network is handled via using a two-stage stochastic programming as a framework for modeling the optimization problem. An applied method of planning for the net...

This study presents a reduction of production disturbances of a shoemaking industry through discrete event simulation approach. The study is conducted at Peacock Shoe factory found in Addis Ababa, Ethiopia.  This factory faces line balancing problem that becomes production disturbance for its assembly lines. Detail time study is carried out for the selected shoe model using stopwatch. Assembly ...