Survival of the fittest: the impact of fit between warehouse management structure and warehouse context on warehouse performance

Warehouse operations are vital for the success of a supply chain. This paper explores fit among warehouse management structure and the context in which the warehouse operates as an important driver of warehouse performance. Warehouse management structure has been operationalised as the extensiveness by which warehouse operations are planned and controlled, and the complexity of the decision rules used for optimisation of the operations. Warehouse performance is measured using data envelopment analysis (DEA). Hypotheses are developed and tested in a survey study among 111 distribution warehouses in the Netherlands and Belgium. Our results show that indeed warehouse management structure should be adapted to context. In order to obtain high warehouse performance more complex warehouse tasks require more and more complex decision rules, and warehouses with more unpredictable demand require fewer tactical plans. These results can help warehouse managers to structure their warehouse management contingent on the context in which the warehouse operates.

[1]  Joe Zhu,et al.  Super-efficiency and DEA sensitivity analysis , 2001, Eur. J. Oper. Res..

[2]  Rodney H. Green,et al.  Efficiency and Cross-efficiency in DEA: Derivations, Meanings and Uses , 1994 .

[3]  Gülgün Alpan,et al.  Warehouse performance measurement: a literature review , 2015 .

[4]  Paul Hofmann,et al.  Efficiency analysis of supply chain processes , 2006 .

[5]  Harold O. Fried,et al.  The Measurement of Productive Efficiency and Productivity Growth , 2008 .

[6]  Andrew H. Van de Ven,et al.  Special Issue: Frontiers of Organization Science, Part 1 of 2: Designing Work Within and Between Organizations , 2005, Organ. Sci..

[7]  R. Schmenner,et al.  On theory in operations management , 1998 .

[8]  P. W. Wilson,et al.  Estimation and inference in two-stage, semi-parametric models of production processes , 2007 .

[9]  A. V. Goor,et al.  European distribution and supply chain logistics , 2003 .

[10]  Christopher A. Voss,et al.  Contingency research in operations management practices , 2008 .

[11]  P. Baker,et al.  An exploration of warehouse automation implementations: cost, service and flexibility issues , 2007 .

[12]  Paul M. Griffin,et al.  Benchmarking Warehousing and Distribution Operations: An Input-Output Approach , 2001 .

[13]  P. Lawrence,et al.  Organization and environment , 1967 .

[14]  S. Zailani,et al.  Supply chain integration and performance: US versus East Asian companies , 2005 .

[15]  René de Koster,et al.  Non-dominated time-window policies in city distribution , 2013 .

[16]  P. W. Wilson,et al.  Two-stage DEA: caveat emptor , 2011 .

[17]  Leon F. McGinnis,et al.  Performance measurement in the warehousing industry , 2010 .

[18]  Nynke Faber,et al.  Organizing warehouse management , 2013 .

[19]  Robert A. Novack,et al.  AN EMPIRICAL ANALYSIS OF WAREHOUSE MEASUREMENT SYSTEMS IN THE CONTEXT OF SUPPLY CHAIN IMPLEMENTATION , 1999 .

[20]  Marcel van Assen,et al.  Empirical Studies in Discrete Parts Manufacturing Management , 2005 .

[21]  H. Quak,et al.  Exploring Retailers' Sensitivity to Local Sustainability Policies , 2005 .

[22]  John B. Cullen,et al.  Alternative Methods for Measuring Organization Fit: Technology, Structure, and Performance , 1992 .

[23]  Wout Dullaert,et al.  A framework for measuring efficiency levels :The case of express depots , 2012 .

[24]  Timo Kuosmanen,et al.  One-stage estimation of the effects of operational conditions and practices on productive performance: asymptotically normal and efficient, root-n consistent StoNEZD method , 2011 .

[25]  C. Gallistel The organization of action , 1980 .

[26]  N. Venkatraman,et al.  The Concept of Fit in Strategy Research: Towards Verbal and Statistical Correspondence , 2018 .

[27]  Bert M. Balk,et al.  Benchmarking and Monitoring International Warehouse Operations in Europe , 2008 .

[28]  T. Anderson,et al.  The Fixed Weighting Nature of A Cross-Evaluation Model , 2002 .

[29]  Jie Wu,et al.  Alternative secondary goals in DEA cross-efficiency evaluation , 2008 .

[30]  Mohan V. Tatikonda,et al.  The joint influence of technology uncertainty and interorganizational interaction on external technology integration success , 2008 .

[31]  D. Coghlan,et al.  Doing Action Research in Your Own Organization , 2000 .

[32]  D. A. Kenny,et al.  The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.

[33]  Richard Blackburn,et al.  Dimensions of Structure: A Review and Reappraisal , 1982 .

[34]  Kenneth K. Boyer,et al.  COMPETITIVE PRIORITIES: INVESTIGATING THE NEED FOR TRADE‐OFFS IN OPERATIONS STRATEGY , 2002 .

[35]  R. Duncan Characteristics of Organizational Environments and Perceived Environmental Uncertainty. , 1972 .

[36]  G. Huber,et al.  Retrospective reports of strategic‐level managers: Guidelines for increasing their accuracy , 1985 .

[37]  Thorsten Schmidt,et al.  Warehouse Management: Automation and Organisation of Warehouse and Order Picking Systems , 2006 .

[38]  René de Koster,et al.  Supply-Chain Culture Clashes in Europe. Pitfalls in Japanese Service Operations , 2006 .

[39]  Debjit Roy,et al.  Warehouse design and management , 2017, Int. J. Prod. Res..

[40]  A. Hayes Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach , 2013 .

[41]  T. Sexton,et al.  Data Envelopment Analysis: Critique and Extensions , 1986 .

[42]  W. Bowlin,et al.  Measuring Performance: An Introduction to Data Envelopment Analysis (DEA) , 1998 .

[43]  Nebojsa J. Bojovic,et al.  Benchmarking distribution centres using Principal Component Analysis and Data Envelopment Analysis: A case study of Serbia , 2013, Expert Syst. Appl..

[44]  Timo Kuosmanen,et al.  One-stage and two-stage DEA estimation of the effects of contextual variables , 2012, Eur. J. Oper. Res..

[45]  L. Donaldson The Contingency Theory of Organizations , 2001 .

[46]  Ram Rachamadugu,et al.  A closer look at the use of data envelopment analysis for technology selection , 1997 .

[47]  Kees Jan Roodbergen,et al.  Managing warehouse efficiency and worker discomfort through enhanced storage assignment decisions , 2017, Int. J. Prod. Res..

[48]  P. W. Wilson,et al.  Estimation and Inference in Nonparametric Frontier Models: Recent Developments and Perspectives , 2013 .

[49]  Cecil Bozarth,et al.  The impact of supply chain complexity on manufacturing plant performance , 2009 .

[50]  C. A. Knox Lovell,et al.  Equivalent standard DEA models to provide super-efficiency scores , 2003, J. Oper. Res. Soc..

[51]  A. U.S.,et al.  Measuring the efficiency of decision making units , 2003 .

[52]  Larry E. Toothaker,et al.  Multiple Regression: Testing and Interpreting Interactions , 1991 .

[53]  J. Dawson Moderation in Management Research: What, Why, When, and How , 2014 .