Modeling intermediate product selection under production and storage capacity limitations in food processing

O. A. Kilic; R. Akkerman; M. Grunow; D. P. Van Donk

doi:10.1109/IEEM.2009.5372945

Modeling intermediate product selection under production and storage capacity limitations in food processing

O. A. Kilic
, R. Akkerman
, M. Grunow
, D. P. Van Donk

University of Groningen
Technical University of Denmark

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In the food industry products are usually characterized by their recipes, which are specified by various quality attributes. For end products, this is given by customer requirements, but for intermediate products, the recipes can be chosen in such a way that raw material procurement costs and processing costs are minimized. However, this product selection process is bound by production and storage capacity limitations, such as the number and size of storage tanks or silos. In this paper, we present a mathematical programming approach that combines decision making on product selection with production and inventory planning, thereby considering the production and storage capacity limitations. The resulting model can be used to solve an important practical problem typical for many food processing industries.

Original language	English
Title of host publication	IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management
Pages	1077-1081
Number of pages	5
DOIs	https://doi.org/10.1109/IEEM.2009.5372945
State	Published - 2009
Externally published	Yes
Event	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009 - Hong Kong, China Duration: 8 Dec 2009 → 11 Dec 2009

Publication series

Name	IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management

Conference

Conference	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009
Country/Territory	China
City	Hong Kong
Period	8/12/09 → 11/12/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Food industry
Intermediate storage
Lot scheduling
MILP
Postponement
Product selection
Production and inventory planning

Access to Document

10.1109/IEEM.2009.5372945

Cite this

Kilic, O. A., Akkerman, R., Grunow, M., & Van Donk, D. P. (2009). Modeling intermediate product selection under production and storage capacity limitations in food processing. In IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management (pp. 1077-1081). Article 5372945 (IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management). https://doi.org/10.1109/IEEM.2009.5372945

Kilic, O. A. ; Akkerman, R. ; Grunow, M. et al. / Modeling intermediate product selection under production and storage capacity limitations in food processing. IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management. 2009. pp. 1077-1081 (IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management).

@inproceedings{ff5b1809f0764074aa978936ea83ad61,

title = "Modeling intermediate product selection under production and storage capacity limitations in food processing",

abstract = "In the food industry products are usually characterized by their recipes, which are specified by various quality attributes. For end products, this is given by customer requirements, but for intermediate products, the recipes can be chosen in such a way that raw material procurement costs and processing costs are minimized. However, this product selection process is bound by production and storage capacity limitations, such as the number and size of storage tanks or silos. In this paper, we present a mathematical programming approach that combines decision making on product selection with production and inventory planning, thereby considering the production and storage capacity limitations. The resulting model can be used to solve an important practical problem typical for many food processing industries.",

keywords = "Food industry, Intermediate storage, Lot scheduling, MILP, Postponement, Product selection, Production and inventory planning",

author = "Kilic, \{O. A.\} and R. Akkerman and M. Grunow and \{Van Donk\}, \{D. P.\}",

year = "2009",

doi = "10.1109/IEEM.2009.5372945",

language = "English",

isbn = "9781424448708",

series = "IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management",

pages = "1077--1081",

booktitle = "IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management",

note = "IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009 ; Conference date: 08-12-2009 Through 11-12-2009",

}

Kilic, OA, Akkerman, R , Grunow, M & Van Donk, DP 2009, Modeling intermediate product selection under production and storage capacity limitations in food processing. in IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management., 5372945, IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management, pp. 1077-1081, IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009, Hong Kong, China, 8/12/09. https://doi.org/10.1109/IEEM.2009.5372945

Modeling intermediate product selection under production and storage capacity limitations in food processing. / Kilic, O. A.; Akkerman, R.; Grunow, M. et al.
IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management. 2009. p. 1077-1081 5372945 (IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Modeling intermediate product selection under production and storage capacity limitations in food processing

AU - Kilic, O. A.

AU - Akkerman, R.

AU - Grunow, M.

AU - Van Donk, D. P.

PY - 2009

Y1 - 2009

N2 - In the food industry products are usually characterized by their recipes, which are specified by various quality attributes. For end products, this is given by customer requirements, but for intermediate products, the recipes can be chosen in such a way that raw material procurement costs and processing costs are minimized. However, this product selection process is bound by production and storage capacity limitations, such as the number and size of storage tanks or silos. In this paper, we present a mathematical programming approach that combines decision making on product selection with production and inventory planning, thereby considering the production and storage capacity limitations. The resulting model can be used to solve an important practical problem typical for many food processing industries.

AB - In the food industry products are usually characterized by their recipes, which are specified by various quality attributes. For end products, this is given by customer requirements, but for intermediate products, the recipes can be chosen in such a way that raw material procurement costs and processing costs are minimized. However, this product selection process is bound by production and storage capacity limitations, such as the number and size of storage tanks or silos. In this paper, we present a mathematical programming approach that combines decision making on product selection with production and inventory planning, thereby considering the production and storage capacity limitations. The resulting model can be used to solve an important practical problem typical for many food processing industries.

KW - Food industry

KW - Intermediate storage

KW - Lot scheduling

KW - MILP

KW - Postponement

KW - Product selection

KW - Production and inventory planning

UR - https://www.scopus.com/pages/publications/77949501946

U2 - 10.1109/IEEM.2009.5372945

DO - 10.1109/IEEM.2009.5372945

M3 - Conference contribution

AN - SCOPUS:77949501946

SN - 9781424448708

T3 - IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management

SP - 1077

EP - 1081

BT - IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management

T2 - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009

Y2 - 8 December 2009 through 11 December 2009

ER -

Kilic OA, Akkerman R , Grunow M, Van Donk DP. Modeling intermediate product selection under production and storage capacity limitations in food processing. In IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management. 2009. p. 1077-1081. 5372945. (IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management). doi: 10.1109/IEEM.2009.5372945

Modeling intermediate product selection under production and storage capacity limitations in food processing

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this