Aggregate Production Planning: A Literature Review and Future Research Directions

نویسندگانAli Cheraghalikhani, Farid Khoshalhan and Hadi Mokhtari
نشریهInternational Journal of Industrial Engineering Computations
نوع مقالهFull Paper
تاریخ انتشار2019
رتبه نشریهعلمی - پژوهشی
نوع نشریهچاپی
کشور محل چاپکانادا
نمایه نشریهISI

چکیده مقاله

Aggregate production planning (APP) is concerned with determining the optimum production
and workforce levels for each period over the medium term planning horizon. It aims to set
overall production levels for each product family to meet fluctuating demand in the near future.
APP is one of the most critical areas of production planning systems. After the state-of-the-art
summaries in 1992 by Nam and Logendran [ Nam, S. J., & Logendran, R. (1992). Aggregate
production planning—a survey of models and methodologies. European Journal of Operational
Research, 61(3), 255-272. ], which specifically summarized the various existing techniques from
1950 to 1990 into a framework depending on their abilities to either produce an exact optimal or
near-optimal solution, there has not been any systematic survey in the literature. This paper
reviews the literature on APP models to meet two main purposes. First, a systematic structure
for classifying APP models is proposed. Second, the existing gaps in the literature are
demonstrated in order to extract future directions of this research area. This paper covers a
variety of APP models’ characteristics including modeling structures, important issues, and
solving approaches, in contrast to other literature reviews in this field which focused on
methodologies in APP models. Finally some directions for future research in this research area
are suggested.

tags: Aggregate production planning (APP) Deterministic models Uncertain models State-of-the-art review