 International Journal of Business Performance and Supply Chain Modelling (IJBPSCM)
ISSN (Online): 1758-941X - ISSN (Print): 1758-9401
Click to download IJBPSCM leaflet Abstracting/Indexing Services and Journal Lists
In today’s global market, managing the entire supply chain becomes a key factor for measuring the successful business performance and the performance evaluation remains one of the biggest challenges for today's companies. This holds true for many individual companies as well as for the extended supply chain in which they participate. World-class organisations now realise that non-integrated manufacturing processes, non-integrated distribution processes and poor relationships with suppliers and customers are inadequate for their success. They realise the impact of an organisation’s plan on the other areas of the supply chain. The impact of an organisation’s plan on the whole supply chain is unpredictable before its execution. Simulation permits the evaluation of operating performance prior to the execution of a plan. In practical applications, business performance and supply chain modelling has become a necessity.
IJBPSCM is a peer reviewed international quarterly journal which publishes original, high-quality and cutting-edge research on all aspects of supply chain modelling aiming at bridging the gap between theory and practice with applications analysing the real situation to improve business performance.
 Objectives
The main objectives of the IJBPSCM are:
- To help firms capture the synergy of inter-functional and inter-organisational integration and coordination across the supply chain and to subsequently make better supply chain decisions through identifying key challenges and opportunities associated with supply chain modelling
- To present state-of-art, high-quality research developments in all the advanced areas of supply chain modelling (SCM)
- To help professionals working in the area of supply chain, academician, consultants and practitioners to share the cutting-edge information of current development in the area
- To provide guidelines for the successful development and implementation of supply chain modelling to improve the business performance
- To define new problem domains in the area of SCM
- To develop new methodologies to solve SCM problems
Readership
IJBPSCM provides a platform to help academics, researchers, professionals and practitioners working in the field of business performance and supply chain modelling, to disseminate and publicise research work and to facilitate greater learning processes from each other's work. Contents
IJBPSCM publishes original papers, review papers, field research, technical reports, case studies, conference reports, management reports, book reviews, notes, commentaries, and news. Special Issues devoted to important topics in business performance and supply chain modelling will occasionally be published. Subject Coverage
Topics includes, but are not limited to:
- Business performance modelling
- Business performance strategy
- Vendor/supplier selection
- Purchasing management
- Supplier development
- Supply chain performance management
- Green supply chain modelling
- Sustainable supply chain management
- Reverse logistics
- Closed loop supply chain
- Quality based SCM
- Agile SCM
- Leagile SCM
- Intelligent SCM
- Supply chain optimisation
- Risk supply chain
- Performance metrics
- Multi objective optimisation in SCM
- Decision making in SCM
- Artificial intelligence in SCM
- Information sharing in SCM
- Co-ordinated SCM
- Decision support system for SCM
- Global SCM
- Flexible SCM
- Stochastic supply chain games
- Knowledge based supply chain
- 3PL/4PL
- Systems approach to SCM
- Food SCM
- IT-enabled SCM
- Risk mitigation strategies in SCM
- Supply chain network management
- Modelling and simulation
- Implementation issues in SCM
- Fuzzy modelling of supply chain problems
- Training and education issues in logistics and supply chain management
- Information security in supply chain management
- RFID in supply chain management
- Supply chain analysis
- Transportation decisions
- Vehicle routing, bullwhip effect
- Supply chain information measurement
- Data mining for e-business/SCM
- Logistics in disaster management
- Comparision of SCM in different countries
Specific Notes for Authors
Submitted papers should not have been previously published nor be currently
under consideration for publication elsewhere.
All papers are refereed through a double blind process. A guide for authors,
sample copies and other relevant information for submitting papers are
available on the Author Guidelines
web-page.
To submit a paper, please go to Submissions of Papers
All papers must be submitted online. If you experience any problems submitting your paper online, please contact submissions@inderscience.com,
describing the exact problem you experience. Please include in your email the title of the Journal.
Editors and Members of the Editorial Board
Editor in Chief Kannan Govindan
Associate Professor in Operations and Supply Chain Management
University of Southern Denmark
Department of Business and Economics
Campusvej 55
DK5230 Odense M
DENMARK
gov sam.sdu.dk
Editorial Board Members Susana G. AzevedoSu
University of Beira Interior
PORTUGAL Amelia CarrAm
Bowling Green State University
USA Hing Kai ChanHi
University of East Anglia
UK T.C. Edwin ChengT.
The Hong Kong Polytechnic University
HONG KONG Jason Tsan-Ming ChoiJa
The Hong Kong Polytechnic University
HONG KONG Türkay DereliT&
University of Gaziantep
TURKEY Maged DessoukyMa
University of Southern California
USA Yasser DessoukyYa
San Jose State University
USA Ephrem EyobEp
Virginia State University
USA Jose M. FraminanJo
University of Seville
SPAIN Mark GohMa
University of South Australia
AUSTRALIA Robert W. GrubbströmRo
Linköping Institute of Technology
SWEDEN Askiner GungorAs
Pamukkale University
TURKEY Surendra M. GuptaSu
Northeastern University
USA A. Noorul HaqA.
National Institute of Technology Tiruchirappalli
INDIA Lucas JódarLu
Universidad Politécnica de Valencia
SPAIN Robert D. KlassenRo
University of Western Ontario
CANADA Pradeep KumarPr
Indian Institute of Technology Roorkee
INDIA Ian M. LangellaIa
Shippensburg University
USA Tzong-Ru (Jiun-Shen) LeeTz
National Chung Hsing University
TAIWAN Jens LorenzJe
University of New Mexico
USA Hokey MinHo
Bowling Green State University
USA Steven NahmiasSt
Santa Clara University
USA Malini NatarajarathinamMa
Texas A&M University
USA David O'SullivanDa
National University of Ireland, Galway
IRELAND Kulwant S. PawarKu
University of Nottingham
UK Lorenzo PeccatiLo
Bocconi University
ITALY Kishore K. PochampallyKi
Southern New Hampshire University
USA Divakar RajamaniDi
University of Texas at Dallas
USA Ramakrishnan RamanathanRa
University of Nottingham
UK Aleda V. RothAl
Clemson University
USA Joseph SarkisJo
Clark University
USA Ravi ShankarRa
Indian Institute of Technology Delhi
INDIA Bala ShettyBa
Texas A&M University
USA Rick K.C. SoRi
University of California at Irvine
USA Gursel A. SuerGu
Ohio University
USA Asoo J. VakhariaAs
University of Florida
USA Rakesh VermaRa
National Institute of Industrial Engineering (NITIE)
INDIA Chee WongCh
University of Hull
UK
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