Multiobjective evolutionary optimization of batch process scheduling under environmental and economic concerns

Abstract

in Wiley Online Library (wileyonlinelibrary.com).The simultaneous consideration of economic and environmental objectives in batch production scheduling is today a subject of major concern. However, it constitutes a complex problem whose solution necessarily entails production trade-offs. Unfortunately, a rigorous multiobjective optimization approach to solve this kind of problem often implies high computational effort and time, which seriously undermine its applicability to day-to-day operation in industrial practice. Hence, this work presents a hybrid optimization strategy based on rigorous local search and genetic algorithm to efficiently deal with industrial scale batch scheduling problems. Thus, a deeper insight into the combined environmental and economic issues when considering the trade-offs of adopting a particular schedule is provided. The proposed methodology is applied to a case study concerning a multiproduct acrylic fiber production plant, where product changeovers influence the problem results. The proposed strategy stands for a marked improvement in effectively incorporating multiobjective optimization in short-term plant operation.

Genetic algorithm for short-term scheduling of make-and-pack batch production process

“…ACCEPTED MANUSCRIPT 19 end of GA, ACO and TS procedures. Each heuristics provides the best production sequence of product family.…”

“…A comprehensive set of position selection rules was constructed and appropriate synthesis rules were applied. Capón-García et al[19] dealt with multiobjective batch process scheduling problem via GA and local search and focused on the trade-off between environmental impact and economical throughput.Some researchers focused on the case study proposed by[1]. Fündeling and Trautmann[2] used a priority-based heuristics to solve make-and-pack problem by…”

Bi-criteria scheduling for Multistage Multiproduct Batch Plants with Due Dates and Setups

“…12 u bB  . (13) At each subsequent step, some versions of possible and non-dominated solutions are selected by the algorithm below.…”

“…This paper embeds principles from Life Cycle Analysis (LCA) for optimization model construction, which takes into account economical criteria and criteria of environmental safety. The similar approach was applied by [13], which elaborated the combination of genetic algorithm and local search. The proposed methodology was studied in a case concerning a multiproduct acrylic fiber production plant, where ISSN: 2349 -9362 www.internationaljournalssrg.org Page 14 product changeovers are critical results.…”

Application of an evolutionary algorithm-based ensemble model to job-shop scheduling

“…MOPs entail problems that require multiple objectives to be satisfied simultaneously [7], [33]. Some examples of MOPs are maximising profit subject to production cost and time, minimising loss in emission and transmission as well as cost in economic dispatch problems.…”