Robust Wagner–Whitin algorithm with uncertain costs

Journal of Industrial Engineering International

دوره 15، شماره 3، آذر 2019   

نویسندگان

Payam Hanafizadeh^{* 1}؛ Amir Shahin²؛ Mehdi Sajadifar³

¹Department of Industrial Management, AllamehTabataba’i University, Tehran, 1489684511, Iran

²Faculty of Quality Management Systems and Inspection, Institute of Standard and Industrial Research of Iran, Karaj, 31745-139, Iran

³Department of Industrial Engineering, University of Science and Culture, Tehran, 13145-871, Iran

چکیده

In real-world applications, costs for products are not deterministic: neither static nor dynamic. They actually tend to be non-stationary and cross-correlated. To overcome this drawback, there have been some efforts by researchers to extend the Wagner–Whitin algorithm to consider stochastic costs. However, they assume that the information of probability density function of random costs exists. This paper applied a robust approach in reformulating the uncertain lot-sizing problem and used the Wagner–Whitin algorithm to find an optimal solution of its robust counterpart. The solution of the proposed algorithm in an example from the literature is compared with the classical one.

کلیدواژه‌ها

Wagner؛ Whitin algorithm · Robust approach · Uncertainty · Non-stationary · Randomness