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Call for Papers - Special Issues

Call for Papers - Special Issues

We are planning several special issues and you are welcome to contribute to any of them.


Call for Papers – Special Issue on

Human judgment in supply chain forecasting and multi-tier operations

 

Guest Editors

Prof Behnam Fahimnia

Professor and Chair in Supply Chain Management, The University of Sydney Business School, Australia behnam.fahimnia@sydney.edu.au

Prof Nada Sanders n.sanders@neu.edu

Distinguished Professor of Supply Chain Management, Northeastern University, USA

Prof Enno Siemsen esiemsen@wisc.edu

Director of the Erdman Center for Operations & Technology Management, Wisconsin School of Business, University of Wisconsin-Madison, USA


Aims and Scope

Human judgment is an integral part of supply chain forecasting and operations planning. For example, statistical forecasts can be made more accurate when expert judgements are incorporated into the forecast support systems (e.g. Fildes et al. 2009) simply because statistical forecasting methods do not consider all characteristics of a dynamic business environment (Goodwin 2002). Factors related to contextual information such as sales promotions, climate/weather changes, price changes, perishability issues, service level changes, alterations in strategic plans, deletions of products, and new product development are often not fully incorporated into statistical forecasting techniques. As such, empirical evidence shows that the common industry practice is for the forecasters to intervene with statistically derived forecasts and impose their ‘expert’ judgment through manual adjustments (Fildes and Goodwin 2007; Fildes et al. 2009; Moritz et al., 2014).

Despite early evidence suggesting that statistical models outperform human judgment in terms of accuracy (e.g., Carbone et al. 1983, Hogarth and Makridakis 1981), more recent research emphasizes that this dominance of statistical forecasts does not always hold true (Can Eksoz et al. 2014; Fildes et al. 2009; Kremer et al. 2011; Lawrence et al. 2006). In a study of 240 corporations in the USA, over 90% of companies reported having access to some statistical software, yet only 29% purely used quantitative methods, 30% used judgmental methods only, and the remaining 41% applied both quantitative and judgmental methods (Sanders and Manrodt 2003). The performance of purely quantitative forecasting method can be flawed by a number of factors such as instability or noise in the time series when historical data is limited, or when contextual information is not incorporated into the model (Kremer et al. 2015; Lawrence et al. 2006).

In this environment where we know that “judgement” and “forecasting operations planning” are fundamentally inseparable, it is important to understand how best expert judgement can be evaluated and incorporated into the support systems. There are a number key research questions that are yet to be thoroughly explored in this area. Under what circumstances do judgmental forecasts outperform statistical forecasts in the presence of sales promotions and other contextual factors? What type and what level of detail of contextual information can help more informed forecasting? What contributes to a forecaster’s incorrect weighting of contextual information and how can the proper weights be evaluated and enforced? What methods can be used in different situations to improve the learning rate of forecasters for more effective forecast adjustments?

Most importantly, what are the consequences of judgmental forecasting on various supply chain decisions (production, ordering, inventory holding, transport, etc.)? To what extent can coordination and collaboration and effective information sharing in multi-tier operations help improve judgement in forecasting and operations decision making? What approaches can be used to change bad forecasting and operations planning habits? How can we steer behaviors to minimize biases and inefficiencies in forecasting and operations decision making.

This special issue calls for novel contributions that address the above issues within a supply chain context. We invite original contributions that use lab experiments, simulation studies, empirical field experiments, and surveys-based approaches to explore these and related research questions. The targeted audience of this special issue includes researchers working in relevant fields as well as operations and supply chain professionals due to the practical application aspect of the work.

 References

Can Eksoz, S., Mansouri, A. and Bourlakis, M. 2014, ‘Collaborative forecasting in the food supply chain: A conceptual framework’, International Journal of Production Economics, vol.158, no. 14, pp. 120-135.

Carbone, R.,  Andersen, A.,  Corriveau, Y. and Corson, P. P. 1983, 'Comparing for Different Time Series Methods the Value of Technical Expertise Individualized Analysis, and Judgmental Adjustment', Management Science, vol. 29, no. 5, pp. 559-566.

Fildes, R., Goodwin, P., Lawrence, M. and Nikolopoulos, K. 2009, 'Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning', International Journal of Forecasting, vol. 25, no. 1, pp. 3-23.

Fildes, R. and Goodwin, P. 2007, 'Against your better judgment? How organizations can improve their use of management judgment in forecasting', Interfaces, vol. 37, no. 6, pp. 570-576.

Hogarth, R. M. and Makridakis, S. 1981, 'Forecasting and Planning: An Evaluation', Management Science, vol. 27, no. 2, pp. 115-138.

Goodwin, P. 2002, 'Integrating management judgment and statistical methods to improve short-term forecasts', Omega, vol. 30, no. 2, pp. 127-135.

Kremer, M., Moritz, B. and Siemsen, E. 2011, 'Demand forecasting behavior: System neglect and change detection', Management Science, vol. 57, no. 10, pp. 1827-1843.

Kremer, M.,  Siemsen, E. and Thomas, D. J. 2015, 'The Sum and Its Parts: Judgmental Hierarchical Forecasting', Management Science, vol. 62, no. 9, pp. 2745-2764

Lawrence, M.,  Goodwin, P.,  O'Connor, M. and Önkal, D. 2006, 'Judgmental forecasting: A review of progress over the last 25 years', International Journal of Forecasting, vol. 22, no. 3, pp. 493-518.

Moritz, B., Siemsen, E. and Kremer, M. 2014, 'Judgmental forecasting: Cognitive reflection and decision speed', Production and Operations Management, vol. 23, no. 7, pp. 1146-1160.

Sanders, N.R. and Manrodt, K. B. 2003, 'The efficacy of using judgmental versus quantitative forecasting methods in practice', Omega, vol. 31, no. 6, pp. 511-522.

All manuscripts should be submitted via the online editorial system of OMEGA, at  http://www.journals.elsevier.com/omega/. Please submit only papers that have not been previously published and are not currently under consideration for publication elsewhere. Manuscripts will be refereed according to OMEGA’s normal standards and procedures.

Publication Schedule

        The submission deadline is September 30, 2017.

        The Special Issue is scheduled for publication in 2018.

  


Call for Papers – Special Issue on

Customized Assembly Systems

 

Guest Editors

Olga Battaïa, ISAE-SUPAERO, France olga.battaia@isae.fr
Alena
Otto, University of Siegen, Germany  alena.otto@uni-siegen.de 

Erwin Pesch, University of Siegen, Germany  erwin.pesch@uni-siegen.de
Fabio
Sgarbossa, University of Padua, Italy  fabio.sgarbossa@unipd.it 


Aims and Scope

Today’s product market demands a high degree of customization and reduced time to market. The causes of these changes are new trends in global competition, frequent market shifts, demand volatility, and increased quality requirements.

Assembly systems are manufacturing systems that allow companies to assemble final products to customers’ specifications by joining the individual components. Assembly systems can take a variety of forms, including assembly cells, assembly lines, flexible manufacturing systems; manual, semi-automatic, and automatic production lines; and production with a continuous, synchronous, or asynchronous transfer of workpieces. Some of the most influential management concepts have their origin in the organization of assembly systems. Henry Ford’s assembly lines introduced the concept of mass production. Toyota Production Systems defined the principles of lean manufacturing. Currently, assembly systems are one of the principal pillars of product mass customization.

High product customization introduces additional complexity into the design and management of assembly systems. Considerable effort may be needed to coordinate the material supply, and this, in addition to high process variability and low utilization of resources, can lead to elevated production costs.

The design, optimization, and management of highly customized assembly systems present complex decision-making problems for managers. As a result, this topic has attracted increasing attention from theoretical and applied academic research. Recent publications in scientific journals also consider assembly systems as a centrepiece of an integrated decision making based on joint consideration of planning problems across business functions, such as supply chain management, production, and logistics.

This special issue aims to provide a forum for the latest developments in Management Science on the design, optimization, and management of highly customized assembly systems, taking into account the accelerating evolution of technology, management practices, and production strategies. The objective of the special issue is to disseminate the fundamental theoretical knowledge necessary to support comprehensive decision making in the industry. Topics should focus on mass customization, discuss possible applications, and include, but not be limited to, the use of analytical and optimization approaches as well as of empirical research to address significant theoretical and practical issues in the following areas:


·       Assembly systems as a part of integrated decision making

·       Performance analysis for assembly systems

·       Forecasting methods for mass customization in assembly systems

·       Value-driven, uncertainty-aware data processing in assembly lines

·       Robust assembly systems

·       Sustainability issues in assembly systems, including environmental impact assessment and reduction as well as ergonomics issues and human factors

·          Multiple-criteria decision making and multi-objective optimization in assembly systems

·          Design of assembly systems and equipment selection

·          Logistics and part feeding in assembly systems

·          Inventory management and production planning in assembly systems

·          Assembly line balancing

·          Lot sizing and sequencing of workpieces in assembly systems

·          Job scheduling and job rotation in assembly systems

 

Aside from the themes and ideas just named, we are open to further suggestions and invite potential authors to contact us to discuss other possible topics. All submissions must fit within the domain statement of the journal and will be judged for their appropriateness in relation to the special issue’s scope and their originality as theoretical and practical research contributions.

All manuscripts should be submitted via the online editorial system of OMEGA, at  http://www.journals.elsevier.com/omega/. Please submit only papers that have not been previously published and are not currently under consideration for publication elsewhere. Manuscripts will be refereed according to OMEGA’s normal standards and procedures.

Publication Schedule

        The submission deadline is December 31, 2016

        The Special Issue is scheduled for publication in 2017.

  


Call for Papers – Special Issue on

“New Research Frontiers in Sustainability”

 

Guest Editors

Chialin Chen, Queen’s University, Canada   cchen@business.queensu.ca

Sean Zhou, Chinese University of Hong Kong, Hong Kong, China   zhoux@baf.cuhk.edu.hk

Joe Zhu, Worcester Polytechnic Institute, USA   jzhu@wpi.edu

 

Aims and Scope

 

Sustainable operations have received significant attention from both academia and industry since the early 2000s. Driven by consumers’ increasing environmental consciousness and the regulatory initiatives established by governments around the world, most companies today recognize the “sustainability imperative” that is critical to their long-term survival and success. The most common approach adopted to deal with sustainability issues thus far is the so-called “low-hanging fruit” strategy, i.e., implementing those sustainability practices which also reduce costs and/or improve operational efficiency, such as reducing scrap, reusing wastewater, and improving energy efficiency. However, recent evidence shows that the “low-hanging fruit” approach has eventually reached its limit due to the continuously tightened regulations and rising consumer demand on sustainability. Therefore, it is time for today’s companies to refocus and engage in the development of new products, processes, and business models in order to tackle the difficult operational, strategic, and social tradeoffs along the triple bottom line (TBL) dimensions: profit, people, and planet. New applications of management science will play a crucial role in dealing with this emerging challenge to achieve sustainability.

 

The aim of this special issue is to publish state-of-the-art research papers which address sustainability problems and challenges on the interface between the three TBL dimensions (profit, people, and planet). Analytical models, empirical studies, and case-based studies are all welcomed as long as an article provides new insights and implications to the practice of management science concerning sustainability.

 

Potential research topics include, but are not limited to, the following:

 

·       New product/process design and innovation for sustainability

·       Green IT and information systems for sustainable business development

·       Multi-criteria decision methods for sustainability assessment

·       Sustainability performance evaluation (e.g., data envelopment analysis, life-cycle analysis, environmental cost-benefit analysis, etc.)

·       Innovative business models for sustainable development

·       Supply-chain social capital for sustainability

·       Social/human aspects of sustainability

·       Analytical models for controlling greenhouse gas emissions and other intertemporal environmental externalities

·       Closed-loop supply chain with reuse, recycling, and remanufacturing practices

·       Green supply chain and logistics in global emerging markets

 

All the manuscripts should be submitted via the online editorial system of OMEGA, at http://www.ees.elsevier.com/omega. The reviewing and the selection of papers will be carried out in accordance with the standards of the journal.

 

Publication Schedule

 

            The submission deadline is December 30, 2014.

 

            The Special Issue is scheduled for publication in 2016.

 


 

A Special Issue on

“Network-DEA in the Service Sector”

Guest Editors

Necmi Kemal Avkiran, The University of Queensland, UQ Business School, Brisbane, Australia, n.avkiran@business.uq.edu.au  

Kaoru Tone, National Graduate Institute for Policy Studies, Tokyo, Japan, tone@grips.ac.jp

The Special Issue appeared Volume 60.

A Special Issue on

“Business Analytics”

Guest Editors

Michael Doumpos Technical University of Crete, Greece mdoumpos@dpem.tuc.gr 

Constantin Zopounidis Technical University of Crete, Greece & Audencia School of Management, France kostas@dpem.tuc.gr

The Special Issue appeared Volume 59, Part A.


A Special Issue on

“Decision Making in Enterprise Risk Management (ERM)”

Guest Editors

Desheng Dash Wu, University of Toronto, Canada, dwu@fields.utoronto.ca

Alexandre Dolgui, Ecole des Mines de Saint-Etienne, France,

alexandre.dolgui@mines-stetienne.fr

David L. Olson, University of Nebraska, USA, Dolson3@unl.edu

The Special Issue appeared Volume 57, Part A.


A Special Issue on

"Management Science and Environmental Issues”

Guest Editors

Chiang Kao, National Cheng Kung University, Taiwan, ckao@mail.ncku.edu.tw

Hsihui Chang, Drexel University, USA, hc336@drexel.edu

Rong-Ruey Duh, National Taiwan University, Taiwan, rrduh@management.ntu.edu.tw

The Special Issue appeared Volume 41, Issue 2.


A Special Issue on

"Data Envelopment Analysis: The Research Frontier-

This Special Issue is dedicated to the memory of

William W. Cooper 1914-2012”

Guest Editors

Wade D. Cook, York University, Canada, wcook@schulich.yorku.ca

Lawrence M. Seiford, University of Michigan, USA, seiford@umich.edu

Joe Zhu, Worcester Polytechnic Institute, USA, jzhu@wpi.edu

The Special Issue appeared Volume 41, Issue 1.


A Special Issue on

"Forecasting In Management Science”

Guest Editors

John E. Boylan, Buckinghamshire New University, UK john.boylan@bucks.ac.uk

Aris A. Syntetos, University of Salford, UK a.syntetos@salford.ac.uk

The Special Issue appeared Volume 40, Issue 6.


A Special Issue on

"Empirical Research in the EU Banking Sector"

Guest Editors

Fotios Pasiouras, University of Bath, UK f.pasiouras@bath.ac.uk

Constantin Zopounidis, Technical University of Crete, Greece kostas@dpem.tuc.gr

The Special Issue appeared Volume 38, Issue 5.


A Special Issue on

"Ethics and Operations Research"

Guest Editors

 Marc Le Menestrel, marc.lemenestrel@upf.edu

 Luk N. Van Wassenhoveluk.van-wassenhove@insead.edu

The Special Issue appeared Volume 37, Issue 6.


A Special Issue on

"Role of Flexibility in Supply Chain Design and Modeling"

Guest Editor

Charu Chandra, charu@umich.edu

Associate Guest Editor

Janis Grabis, grabis@itl.rtu.lv

The Special Issue appeared Volume 37, Issue 4.


A Special Issue on

“Management Science Research in China:

A Special Issue Dedicated to the 2008 Beijing Olympic Games”

Guest Editor

Joe Zhu, jzhu@wpi.edu

The Special Issue appeared Volume 36, Issue 6.


A Special issue on

"Logistics: New Perspectives and Challenges"

Guest Editors

Angappa Gunasekaran, agunasekaran@umassd.edu

T. C. Edwin Cheng, lgtcheng@polyu.edu.hk

The Special Issue appeared Volume 36, Issue 4.


A Special issue on

"Multiple Criteria Decision Making for Engineering"

Guest Editors

Margaret M. Wiecek, wmalgor@clemson.edu

Matthias Ehrgott, m.ehrgott@auckland.ac.nz

Georges Fadel, fgeorge@clemson.edu

José Rui Figueira, figueira@ist.utl.pt

The Special Issue appeared Volume 36, Issue 3.


A Special issue on

"Knowledge Management and Organizational Learning"

Guest Editor

William R. King, billking@katz.pitt.edu

Associate Guest Editors

T. Rachel Chung, rachel.chung@gmail.com

Mark H. Haney, mhaney@katz.pitt.edu

The Special Issue appeared Volume 36, Issue 2.


Cluster Papers from INFORMS Conference in

Atlanta October 2003

Guest Editors

Donna C. Llewellyn, donna.llewellyn@cetl.gatech.edu

Paul Griffin, pgriffin@isye.gatech.edu

The Special Issue Section appeared Volume 36, Issue 1.


A Special issue on

"Telecommunications Applications"

Guest Editors

Rina Schneur, rina.schneur@verizon.com

Hui Liu, hui.liu@verizon.com

The Special Issue appeared Volume 35, Issue 6.


A Special issue on

"Reverse Production Systems: Disassembly and other Reverse Manufacturing related practices"

Guest Editor

B. Adenso-Diaz,  ADENSO@epsig.uniovi.es

The Special Issue appeared Volume 34, Issue 6.


A Special Issue on selected papers from APORS Conference in New Delhi, India, December 2003

Guest Editor

M.C. Puri, mcpuri@maths.iitd.ernet.in

The Special Issue appeared Volume 33, Issue 5.