An attainable region approach for production planning of multiproduct processes

TY - JOUR

T1 - An attainable region approach for production planning of multiproduct processes

AU - Sung, Charles

AU - Maravelias, Christos T.

PY - 2007/5

Y1 - 2007/5

N2 - A novel approach is presented for the solution of production planning problems for multiproduct processes. A mixed-integer programming (MIP) scheduling model is analyzed off-line to obtain a convex approximation of feasible production levels and a convex underestimation of total production cost as a function of production levels. The two approximating functions are expressed via linear inequalities that involve only planning variables yet provide all the relevant scheduling information necessary to solve the planning problem with high quality. A rolling horizon algorithm is also presented for generation (if necessary) of detailed schedules.

AB - A novel approach is presented for the solution of production planning problems for multiproduct processes. A mixed-integer programming (MIP) scheduling model is analyzed off-line to obtain a convex approximation of feasible production levels and a convex underestimation of total production cost as a function of production levels. The two approximating functions are expressed via linear inequalities that involve only planning variables yet provide all the relevant scheduling information necessary to solve the planning problem with high quality. A rolling horizon algorithm is also presented for generation (if necessary) of detailed schedules.

KW - Attainable region

KW - Production planning

KW - Scheduling

UR - http://www.scopus.com/inward/record.url?scp=34248578445&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34248578445&partnerID=8YFLogxK

U2 - https://doi.org/10.1002/aic.11167

DO - https://doi.org/10.1002/aic.11167

M3 - Article

SN - 0001-1541

VL - 53

SP - 1298

EP - 1315

JO - AICHE Journal

JF - AICHE Journal

IS - 5

ER -