Assembly lines appear with various differentiations in order to better include the disabled labor market and increase production efficiency. In this way, optimal workforce assignment problem that emerges heterogeneously is called assembly line worker balancing (ALWABP). This paper addresses ALWABP where simple version enriched by considering sequence-dependent setup times between tasks. A mixed...

In this paper, the stochastic location-routing-inventory problem is considered in which retailers’ demands and lead-times are stochastic. Demand quantities follow Poisson distribution and lead-times are functions of the shortage quantity. It is also assumed that both retailers and distributors hold inventory and follow (S-1, S) inventory policy. According to these assumptions, we use METRIC (i....

Microgrids (MGs) are presented as a cornerstone of smart grids. With the potential to integrate intermittent renewable energy sources (RES) in a flexible and environmental way, the MG concept has gained even more attention. Due to the randomness of RES, load, and electricity price in MG, the forecast errors of MGs will affect the performance of the power scheduling and the operating cost of an ...

Ramsey model belongs to “classical” economic dynamic models. It has been (1928) originally constructed (with a farmer’s interpretation) in a deterministic discrete setting. To solve it Lagrangean or dynamic programming techniques can be employed. Later, this model has been generalized to a stochastic version. Time horizon in the original deterministic model as well as in modified stochastic one...

We consider a Markov decision process model of a network revenue management problem. Working within this formal framework, we study policies that combine aspects of mathematical programming approaches and pure Markov decision process methods. The policies employ heuristics early in the booking horizon, and switch to a more-detailed decision rule closer to the time of departure. We present a fam...

ABSTRACT: Multi-manned assembly lines are widely used in manufacturing industries that process a high-volume of large-sized workpieces. At each workstation there multiple workers simultaneously performing different tasks with the possibility interfering other, leading to an increase processing task times. This paper studies this type problem: multi-manned line balancing problem dependent times ...

This paper proposes a bi-objective reliable supply chain network design that immunizes the network against different sources of uncertainties. In this regard, scenario based stochastic programming method is applied to model different disruption scenarios affecting accurate performance of network stages. Also, reliable and unreliable facilities are suggested for lessening vulnerability of networ...

We propose and study a one-dimensional traffic flow cellular automaton model of high-speed vehicles with the Fukui-Ishibashi-type acceleration for all cars, and the Nagel-Schreckenberg-type (NS) stochastic delay only for cars following the trail of the car ahead. The main difference in the delay scenario between our model and the NS model is that a car with spacing ahead longer than the velocit...

This paper presents a linear programming approach to analyze and optimize flow lines with limited buffer capacities and stochastic processing times. The basic idea is to solve a huge but simple linear program that models an entire simulation run of a multi-stage production process in discrete time, to determine a production rate estimate. As our methodology is purely numerical, it offers the fu...

Abstract We study the problem of scheduling container transport in synchromodal networks considering stochastic demand. In networks, transportation modes can be selected dynamically given actual circumstances and performance is measured over entire network time. model this as a Markov Decision Process propose heuristic solution based on Approximate Dynamic Programming (ADP). Due to multi-period...