An aggregate production planning mathematical model, under a peak-demand electrical control policy. (11th October 2019)

• Record Type: Journal Article
• Authors: Urrutia, Javier F.; Pradenas, Lorena
• Is Part Of: International journal of planning and scheduling. Volume 3:Number 1(2019)
• Page Start: 68
• Page End: 83
• Publication Date: 2019-10-11
• Subjects: steel-ball manufacturing -- electrical demand control policies -- mathematical programming -- energy demand manufacturing -- mixed integer programming -- production planning and scheduling; Production scheduling -- Periodicals; Mathematical statistics -- Periodicals; Operations research -- Periodicals; 658.53
• Languages: English
• ISSNs: 2044-494X

Abstract

The impact of energy costs on the production planning decisions of most manufacturing companies is certainly crucial. For electrical consumption, there is a link between production activities and the regions energy policies, for example where electricity price variations are a tactical problem to be solved via equipment sequencing to address the known electricity costs. The goal of this study is to apply an aggregate production planning mathematical model, under a peak-demand electrical control policy, for an energy intensive manufacturer of grinding media, in Chile. The objective function is to maximise the profit of a company in a horizon time of T periods, where a penalty is incurred when production lines are used at peak hours (per electric market regulations/contracts). Furthermore, the model determines the optimum period for a major preventive maintenance for each of its process lines. The case studied is a plant which produces steel balls that are used for mineral grinding; the plant manufactures ten types steel balls from round steel bars (different diameters of balls/bar), a process with high energy demand (induction bar heating). The proposed model was implemented in the Lingo software, allowing for a consistent aggregate production planning to maximising the company's profits.