A Production Planning Optimization Model for Maximizing Battery Manufacturing Profitability

This paper presents an integer programming (IP) model for production planning, which is used to maximize the profitability of battery manufacturing in a mid-size company. Battery production is a complicated multi-stage process. The formation stage, during which the batteries are filled with acid and...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of applied industrial engineering Vol. 1; no. 1; pp. 55 - 63
Main Author Alfares, Hesham K
Format Journal Article
LanguageEnglish
Published Hershey IGI Global 01.01.2012
Subjects
Online AccessGet full text
ISSN2155-4153
2155-4161
DOI10.4018/ijaie.2012010105

Cover

Abstract This paper presents an integer programming (IP) model for production planning, which is used to maximize the profitability of battery manufacturing in a mid-size company. Battery production is a complicated multi-stage process. The formation stage, during which the batteries are filled with acid and charged with electricity, is considered to be the bottleneck of this process. The IP model maximizes the total profit of batteries produced in the formation stage, subject to limited manufacturing resources as well as time limitations and demand restrictions. The IP model is able to accommodate a large variety of battery models and sizes, and also different charging circuit capacities and speeds. The model is formulated and optimally solved using Microsoft Excel Solver. Compared to the current manual production planning approach, the optimum IP-generated production plans lead to an average increase of 12% in daily profits.
AbstractList This paper presents an integer programming (IP) model for production planning, which is used to maximize the profitability of battery manufacturing in a mid-size company. Battery production is a complicated multi-stage process. The formation stage, during which the batteries are filled with acid and charged with electricity, is considered to be the bottleneck of this process. The IP model maximizes the total profit of batteries produced in the formation stage, subject to limited manufacturing resources as well as time limitations and demand restrictions. The IP model is able to accommodate a large variety of battery models and sizes, and also different charging circuit capacities and speeds. The model is formulated and optimally solved using Microsoft Excel Solver. Compared to the current manual production planning approach, the optimum IP-generated production plans lead to an average increase of 12% in daily profits.
Audience Academic
Author Alfares, Hesham K
AuthorAffiliation King Fahd University of Petroleum & Minerals, Saudi Arabia
AuthorAffiliation_xml – name: King Fahd University of Petroleum & Minerals, Saudi Arabia
Author_xml – sequence: 1
  givenname: Hesham
  surname: Alfares
  middlename: K
  fullname: Alfares, Hesham K
  organization: King Fahd University of Petroleum & Minerals, Saudi Arabia
BookMark eNp9UUFPwyAYJWYmzundYxMvHtwstKX0OI1TExc96MkD-cqgsnR0Ak2cv166TU0WFcgHeXnvAe87RD3TGInQCY5HaYzZhZ6DliMS47DCzPZQn-AsG6aY4t73OUsO0LFz8zgMGmeUsD56GUePtpm1wuvGRI81GKNNFT0svV7oD1ij02Ym60g1NprCewd3jEvwXtpVgEyrQPjWdmjwUtpDqWvtV0doX0Ht5PF2H6DnyfXT1e3w_uHm7mp8PxQkLfKhKpMCGKOSUJJKmDFQZZGVDCdEYawwlIJmKREYIFWFCJUJonIpYprjvCySATrd-C5t89ZK5_m8aa0JV3LCKGU0xJAH1vmGVUEtedk6baQLxenq1bsKWuf4OM8KylKGOzrd0IVtnLNScRE-1uXhLeia45h30fN19Pwn-iCMd4RLqxdgV_9JJhuJrvTP27-6wr-6wrdd-csHB6OzX4x2eXw5U8kn922vuQ
CitedBy_id crossref_primary_10_1016_j_jmsy_2016_03_001
Cites_doi 10.1002/npr.10078
10.1109/PICMET.1991.183691
10.1016/0360-8352(94)90274-7
10.1017/S1446181100003163
ContentType Journal Article
Copyright COPYRIGHT 2012 IGI Global
Copyright © 2012, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
Copyright_xml – notice: COPYRIGHT 2012 IGI Global
– notice: Copyright © 2012, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
DBID AAYXX
CITATION
N95
3V.
7XB
88I
8FE
8FG
8FK
ABJCF
ABUWG
AFKRA
AZQEC
BENPR
BGLVJ
CCPQU
DWQXO
GNUQQ
HCIFZ
L6V
M2P
M7S
PHGZM
PHGZT
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
PTHSS
Q9U
DOI 10.4018/ijaie.2012010105
DatabaseName CrossRef
Gale Business: Insights
ProQuest Central (Corporate)
ProQuest Central (purchase pre-March 2016)
Science Database (Alumni Edition)
ProQuest SciTech Collection
ProQuest Technology Collection
ProQuest Central (Alumni) (purchase pre-March 2016)
Materials Science & Engineering Collection
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central Essentials
ProQuest Central
Technology collection
ProQuest One Community College
ProQuest Central Korea
ProQuest Central Student
SciTech Premium Collection
ProQuest Engineering Collection
Science Database
Engineering Database (subscription)
ProQuest Central Premium
ProQuest One Academic (New)
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
Engineering Collection
ProQuest Central Basic
DatabaseTitle CrossRef
ProQuest Central Student
Technology Collection
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest Central China
ProQuest Central
ProQuest One Applied & Life Sciences
ProQuest Engineering Collection
ProQuest Central Korea
ProQuest Central (New)
Engineering Collection
Engineering Database
ProQuest Science Journals (Alumni Edition)
ProQuest Central Basic
ProQuest Science Journals
ProQuest One Academic Eastern Edition
ProQuest Technology Collection
ProQuest SciTech Collection
ProQuest One Academic UKI Edition
Materials Science & Engineering Collection
ProQuest One Academic
ProQuest Central (Alumni)
ProQuest One Academic (New)
DatabaseTitleList CrossRef
ProQuest Central Student

Database_xml – sequence: 1
  dbid: 8FG
  name: ProQuest Technology Collection
  url: https://search.proquest.com/technologycollection1
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 2155-4161
EndPage 63
ExternalDocumentID A759684817
10_4018_ijaie_2012010105
oduction_Planning_Optimiz10_4018_ijaie_20120101051
GeographicLocations Saudi Arabia
GeographicLocations_xml – name: Saudi Arabia
GroupedDBID 0R
4.4
AAOUZ
ABEPT
ACIWK
ADEKF
ALMA_UNASSIGNED_HOLDINGS
COVLG
EBS
EJD
H13
HZ
JRD
MV1
NEEBM
O9-
RIF
0R~
88I
AAYXX
ABJCF
ABUWG
ADMLS
AFKRA
AZQEC
BAAKF
BENPR
BGLVJ
BYHXH
CBWLS
CCPQU
CIGCI
CITATION
CNQXE
CTSEY
DWQXO
GNUQQ
HCIFZ
HZ~
IAO
ITC
M2P
M7S
N95
PHGZM
PHGZT
PTHSS
3V.
7XB
8FE
8FG
8FK
L6V
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
Q9U
ID FETCH-LOGICAL-c2497-fb39a886e2624ead8afb95b8132f11f1abc6542c1aa4f9caa48c2f7ec06717b93
IEDL.DBID BENPR
ISSN 2155-4153
IngestDate Fri Jul 25 11:13:58 EDT 2025
Fri May 23 01:53:27 EDT 2025
Tue Jul 01 05:08:16 EDT 2025
Thu Apr 24 23:04:45 EDT 2025
Tue Jan 05 23:27:00 EST 2021
Thu May 09 18:41:18 EDT 2019
IsPeerReviewed true
IsScholarly true
Issue 1
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c2497-fb39a886e2624ead8afb95b8132f11f1abc6542c1aa4f9caa48c2f7ec06717b93
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
PQID 2866864167
PQPubID 2029140
PageCount 9
ParticipantIDs proquest_journals_2866864167
crossref_citationtrail_10_4018_ijaie_2012010105
crossref_primary_10_4018_ijaie_2012010105
igi_journals_oduction_Planning_Optimiz10_4018_ijaie_20120101051
gale_businessinsightsgauss_A759684817
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2012-01-01T00:00:00
2012-1-1
20120101
PublicationDateYYYYMMDD 2012-01-01
PublicationDate_xml – month: 01
  year: 2012
  text: 2012-01-01T00:00:00
  day: 01
PublicationDecade 2010
PublicationPlace Hershey
PublicationPlace_xml – name: Hershey
PublicationTitle International journal of applied industrial engineering
PublicationYear 2012
Publisher IGI Global
Publisher_xml – name: IGI Global
References ijaie.2012010105-9
ijaie.2012010105-7
ijaie.2012010105-5
ijaie.2012010105-6
ijaie.2012010105-3
ijaie.2012010105-4
ijaie.2012010105-1
ijaie.2012010105-10
ijaie.2012010105-2
ijaie.2012010105-11
ijaie.2012010105-0
(ijaie.2012010105-8) 2006
References_xml – ident: ijaie.2012010105-4
– ident: ijaie.2012010105-5
– ident: ijaie.2012010105-6
– year: 2006
  ident: ijaie.2012010105-8
  publication-title: MEBCO product standards manual
– ident: ijaie.2012010105-9
  doi: 10.1002/npr.10078
– ident: ijaie.2012010105-10
  doi: 10.1109/PICMET.1991.183691
– ident: ijaie.2012010105-11
  doi: 10.1016/0360-8352(94)90274-7
– ident: ijaie.2012010105-3
  doi: 10.1017/S1446181100003163
– ident: ijaie.2012010105-7
– ident: ijaie.2012010105-1
– ident: ijaie.2012010105-2
– ident: ijaie.2012010105-0
SSID ssj0000605628
Score 1.7857138
Snippet This paper presents an integer programming (IP) model for production planning, which is used to maximize the profitability of battery manufacturing in a...
SourceID proquest
gale
crossref
igi
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 55
SubjectTerms Batteries
Battery industry
Charging
Integer programming
Manufacturing
Optimization models
Production planning
Profitability
Small and medium sized companies
Title A Production Planning Optimization Model for Maximizing Battery Manufacturing Profitability
URI http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijaie.2012010105
https://www.proquest.com/docview/2866864167
Volume 1
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3dSxwxEB96-tI-iFZL11rZgj74sFyzH0n2Sa7iKUJVREHoQ0hyybHFnqd7B_W_d2Y36ymiL2HJZsMyM5mvJPMD2DF5KTDwkYmXaZbko0IkprAGn5zlxgor29MWp_z4Kj-5Lq5Dwq0Oxyo7ndgo6tGtpRx5P5WcS47ug9if3iWEGkW7qwFCowfLqIIlyvnyr8PT84unLMtPTga-gaVDw5mgtcravUoMK2S_-qsrKpXJaEuYEYLdM9sUNHSvGlev9HRjfIarsBK8xnjQsnkNPrjJZ_j0rJbgOvwZxOdt9VakdNxhEcVnqBL-hbuWMQGf3cTopsa_9X_qphFthc0H7JrM6ZpDc2-R5vLVrC3i_bABV8PDy4PjJCAnJBbDKZF4k5VaSu5SnuYoK1J7UxZGYujpGfNMG0tAVZZpnfvSYitt6oWzaLuYMGX2BZYmtxP3FWKZIcdc4cTI4HrPuUyZ9S7LbZk5Xuoign5HM2VDWXFCt7hRGF4QlVVDZbWgcgR7T19M25Ia74zdJTaogMiJTU05i3qs53WtBqIoOeEBiAh-IJ9UWH_1q3nUdOQj2H8xpmOJ6liiAkve-hkWwVYnB4tpFoK5-f7rb_CR5mrzN1uwNLufu-_o0czMNvTk8Gg7CO8jje_1xQ
linkProvider ProQuest
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwEB6VcgAOiKcIFDASPXCIFudhOwdUrYBlSx9waKVKHIzttaugsl3IrmD_FL-RmTjpFlX01osVOY4VzYznZXs-gJe2qCQGPioNKsvTYlLK1JbO4pN3wjrpVDxtsS_Gh8XHo_JoDf70d2HoWGWvE1tFPTl1lCMfZEoIJdB9kFuzHymhRtHuag-hEcVixy9_YcjWvNl-h_zdzLLR-4O347RDFUgdhhoyDTavjFLCZyIrkI7KBFuVVmFYFjgP3FhHIE6OG1OEymGrXBakd6jXubRUfAlV_vUizyuCilCjD2c5ndeC3IkWBA_NdIq2MY87oxjEqEH9zdRUmJPTBjQnvLxzlrCzB9fq4_qCVWhN3egO3O58VDaMQnUX1vz0Htw6V7nwPnwZss-xVizylfXIR-wTKqDv3c1ORjBrJwydYrZnflM3jYj1PJfYNV3QpYr2liTNFep5LBm-fACHV0LRh7A-PZ36R8BUjvLhSy8nFrVLIVTGXfB54arci8qUCQx6mmnXFTEnLI0TjcEMUVm3VNYrKifw6uyLWSzgccnYTWKD7vA_sWkoQ9Icm0XT6KEsK0HoAzKBF8gn3a325sI8ejYJCWz9M6Znie5ZojuW_O9neAIbvRysplktg8eXv34ON8YHe7t6d3t_5wncpHlj5mgD1uc_F_4p-lJz-6wVYAZfr3rF_AVF6zE2
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+Production+Planning+Optimization+Model+for+Maximizing+Battery+Manufacturing+Profitability&rft.jtitle=International+journal+of+applied+industrial+engineering&rft.au=Alfares%2C+Hesham+K&rft.date=2012-01-01&rft.issn=2155-4153&rft.eissn=2155-4161&rft.volume=1&rft.issue=1&rft.spage=55&rft.epage=63&rft_id=info:doi/10.4018%2Fijaie.2012010105&rft.externalDocID=oduction_Planning_Optimiz10_4018_ijaie_20120101051
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2155-4153&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2155-4153&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2155-4153&client=summon