Browsing by Author "Erel, Erdal"

Now showing 1 - 5 of 5

Open Access
Development of cost model for the single-model stochastic assembly line balancing problem
(1990) Sarin, S. C.; Erel, Erdal
In this paper we develop a cost model for the single-model stochastic assembly line balancing problem for the objective of minimizing the total labour cost (dicated by the number of stations on the line) and the expected incompletion cost arising from tasks not completed within the prescribed cycle time. Its use is demonstrated in a dynamic programming procedure which is implemented using a bounding strategy to curtail storage and computational requirements. The solutions obtained are compared with those obtained using the procedure of Kottas and Lau (1973, 1981).
Open Access
Management information systems in family planning: experience of a developing country
(Federation Internationale d'Information et de Documentation, 1992) Onkal, Dilek; Erel, Erdal
Open Access
Robust optimization for the discrete time-cost tradeoff problem with cost uncertainty
(Springer International Publishing, 2015) Hazır, Öncü; Haouari, Mohamed; Erel, Erdal
Projects are subject to various sources of uncertainty that hamper reaching project targets; hence, it is crucial importance to use effective approaches to generate robust project schedules, which are less vulnerable to disruptions caused by uncontrollable factors. In this vein, this chapter examines analytical models and algorithms of robust multi-mode project scheduling, specifically, the robust discrete time-cost tradeoff problem (DTCTP). The models and algorithms presented in this chapter can support project managers from a wide range of industries in scheduling activities to minimize deviations from project goals. Furthermore, some surrogate measures that aim at providing an accurate estimate of the schedule robustness are developed and related experimental results are presented. Finally, some potential research areas are proposed and discussed. © Springer International Publishing Switzerland 2015.
Open Access
Robust optimization for the discrete time-cost tradeoff problem with cost uncertainty
(Springer, 2015) Hazır, Ö.; Haouari, M.; Erel, Erdal; Schwindt, C.; Zimmermann, J.
Projects are subject to various sources of uncertainty that hamper reaching project targets; hence, it is crucial importance to use effective approaches to generate robust project schedules, which are less vulnerable to disruptions caused by uncontrollable factors. In this vein, this chapter examines analytical models and algorithms of robust multi-mode project scheduling, specifically, the robust discrete time-cost tradeoff problem (DTCTP). The models and algorithms presented in this chapter can support project managers from a wide range of industries in scheduling activities to minimize deviations from project goals. Furthermore, some surrogate measures that aim at providing an accurate estimate of the schedule robustness are developed and related experimental results are presented. Finally, some potential research areas are proposed and discussed.
Open Access
Sequencing jobs on a single machine with a common due date and stochastic processing times
(1991) Sarin, S. C.; Erel, Erdal; Steiner, G.
This paper presents a procedure for sequencing jobs on a single machine with jobs having a common due date and stochastic processing times. The performance measure to be optimized is the expected incompletion cost. Job processing times are normally distributed random variables, and the variances of the processing times are proportional to their means. The optimal sequences are shown to have a W- or V-shape. Based on this property computationally attractive solution methods are presented.