A Retrospective Look at Production and Operations Management Articles on New Product Development

We present a retrospective look at the articles on New Product Development that appeared in the first 50 issues of Production and Operations Management (POM). We discuss some of the strengths and weaknesses of this POM literature stream. This article is not intended to be a literature review or an exhaustive review of the articles. Rather, we seek to identify new opportunities for rigorous and relevant research, research that has the potential of differentiating and enhancing POM within the Operations Management literature.     

Research Constituents and Authorship Patterns in the Production and Operations Management Journal

The Production and Operations Management Society is the largest professional society dedicated to creating and disseminating knowledge in product and process design, operations, and supply chains for the management of manufacturing and services. Its research journal, Production and Operations Management (POM), covers all topics in the discipline and all research paradigms to serve the entire community. Since its inception in 1992, POM has become recognized as a top tier outlet for operations management research. We identify research institutions in the operations management community that have played major roles in developing the journal based on the research of their faculty members and doctoral graduates. Our findings show that the constituency of the journal reflects the constituency of the society.     

E‐Business: A Review of Research Published in Production and Operations Management (1992–2008)

We review, classify, consolidate, and synthesize the contributions to the expanding field of e‐business that have been published in Production and Operations Management. We classify e‐business research in the following four categories: (1) e‐auctions, (2) radio frequency identification, (3) e‐business system design, and (4) competition, conflict, collaboration, and coordination (C⁴ in e‐business). We identify important research themes, research methodologies, and research techniques within each of these categories. We also provide directions for future research and discuss the managerial implications of the e‐business research reported in our paper.     

Sustainable Operations Management

Operations management researchers and practitioners face new challenges in integrating issues of sustainability with their traditional areas of interest. During the past 20 years, there has been growing pressure on businesses to pay more attention to the environmental and resource consequences of the products and services they offer and the processes they deploy. One symptom of this pressure is the movement towards triple bottom line reporting (3BL) concerning the relationship of profit, people, and the planet. The resulting challenges include integrating environmental, health, and safety concerns with green‐product design, lean and green operations, and closed‐loop supply chains. We review these and other “sustainability” themes covered in the first 50 issues of Production and Operations Management and conclude with some thoughts on future research challenges in sustainable operations management.     

Advancing Theory in Entrepreneurship from the Lens of Operations Management

Early writings in economics describe the entrepreneur's role in terms of bearing the uncertainty inherent in new undertakings. Much of the research published in the pages of Production and Operations Management deals with management under uncertainty. The shared concerns over the impacts of multiple types of uncertainty suggest that research on Operations Management (OM) can play a role in the development of theory in entrepreneurship. We discuss aspects of such a role from two perspectives. First, we consider several topics in the OM literature that have clear applications or parallels in entrepreneurship. These topics include innovation, the management of technology, new product development, flexibility, and hedging strategies. Understanding these topical connections should aid in the development of tools and applications central to the practice of entrepreneurship. On another level, when we consider how the approaches to many of these topics in OM are grounded in theory adapted from Operations Research and Economics we argue that these same roots can be used as starting points for the development of theory in entrepreneurship. As examples, we will argue that the theoretical bases supporting robust optimization, stochastic dynamic programming, and even Total Quality Management can also serve as foundations of theories about the roles, practice, and behaviors of entrepreneurs.     

10‐year Anniversary of the New Product Development,R&D,and Project Management Department in Production and Operations Management—Progress,Thoughts, and Perspectives

The issue you are about to browse offers an opportunity to share many thanks, some observations, and a few forward‐looking thoughts about the department I have had the honor to edit over the last 4 years. It also offers an opportunity to expand the discussion beyond the boundaries of the particular department of Production and Operations Management (POM), and to take stock of the evolution path of the academic community that has formed around the department and its research topics over the past 10 years.     

Martin K. Starr: A Visionary Proponent for System Integration,Modular Production,and Catastrophe Avoidance

Martin K. Starr facilitated the creation of an identity for production and operations management (POM) as an academic discipline. This paper aims to summarize Starr's substantial contributions to scholarly inquiry on system integration and interfunctional coordination, modular production, and catastrophe avoidance. Even after four decades, we describe how his legacy in these areas continues to define several major drivers of operations and supply chain management research and practice. Starr has influenced several generations of students, professors, and executives with his writings, teaching, and leadership roles in the POM community that include 32 years on the faculty of the Columbia School of Business, 15 years as Editor‐in‐Chief of Management Science, and presidency of the Production and Operations Management Society.     

Production planning and control for remanufacturing: literature review and analysis

This article reviews the literature on production planning and control (PPC) for remanufacturing. The objectives are threefold: to determine whether the gaps identified by Guide (Guide Jr, V.D.R., 2000. Production planning and control for remanufacturing: industry practice and research needs. Journal of Operations Management, 18, 467–483) on the subject with respect to the main complicating characteristics of remanufacturing have been fulfilled; to classify the literature based on an appropriate structure to obtain a better understanding of the subject identifying sources of future research and to provide a useful source for scholars and practitioners. Seventy-six papers were examined and classified. It was found that none of the studies deals simultaneously with all of the complicating characteristics, and that more practical research is needed. In addition it was found that we lack studies regarding forecasting and aggregate planning considering disassembly of returned products, material matching restrictions or stochastic routings, master production scheduling considering material matching restrictions or stochastic routings, ordering system and capacity planning considering material matching restrictions and inventory control and management considering stochastic routings.     

PRODUCTION AND OPERATIONS MANAGEMENT'S NEW “REQUISITE VARIETY”

This essay is based on my plenary address at the second annual meeting of the Production and Operations Management Society on November 11, 1991. I propose that as the competitive environment in which production and operations management (POM) practitioners operate becomes ever more demanding and the problems about which POM academics study and teach become more complex and interrelated, we need new approaches both in our teaching and our research. I describe five ways of expanding our “requisite variety” of capabilities.     

The Management of Technology: A Production and Operations Management Perspective

We highlight many of the traditional research themes in the management of technology as well as research themes on emerging topics such as those that appear in this focused issue. The discussion demonstrates the breadth and multidisciplinary nature of management of technology as well as the variety of methods employed in management of technology research. We conclude by offering a list of research themes that are of particular interest to the Management of Technology Department of Production and Operations Management.     

Operations in the Service Industries: Introduction to the Special Issue

This special issue of Production and Operations Management offers a sample of ongoing research that focuses currently on the services industries. The articles selected cover a spectrum of application areas as well as methodologies.     

Interdisciplinary and Interorganizational Research: Establishing the Science of Enterprise Networks

We review and discuss the evolution of interdisciplinary and interorganizational research in operations management and suggest directions for future investigations. The proposed operations management research focus is one that embraces a more holistic view of an “extended enterprise” which involves working with a new business model—the organization as a network. This methodology starts by treating the organization as a system that is enabled by information technology and is characterized by ubiquitous information sharing across traditional enterprise. Proper integration of technology, business processes and people factors needs to be developed to create higher value from networked enterprises. Operations management research future lies in establishing this science from an interdisciplinary perspective. We analyze this perspective in the context of papers published in the first 50 issues of Production and Operations Management and the related literature.     

Erratum: Amplification in Service Supply Chains: An Exploratory Case Study from the Telecom Industry

This erratum contains the appendix that was omitted from the original paper by H. Akkermans and B. Vos, “Amplification in service supply chains: an exploratory study from the telecom industry”, Production and Operations Management, 12, 2, 204–223.     

The Role of Industry Studies and Public Policies in Production and Operations Management

The research domain Industry Studies and Public Policy (IS&PP) seeks to further our understanding of industrial practices and managerial challenges by explicitly considering contextual details in the design and interpretation of research studies. These details can be vital considerations when shaping public policies. This article reviews a sample of IS&PP publications and analyzes the content of 180 selected papers—85 papers published in the Production and Operations Management (POM) journal and 95 papers published in related journals between 1992 and 2014. Our analysis of the sample dataset and examination of exemplar papers provide four findings. First, studies in different industries emphasize different themes of operational decisions. This difference in emphasis reveals potential research opportunities, especially for conducting inter‐industry studies. Second, our analysis reveals a shift in focus over time. Earlier studies contain a mix of benchmarks and inter‐industry comparisons, while later studies tend to be context‐specific, intra‐industry studies. Third, we report on empirics → analytics → empirics cycles that reveal gaps for building novel theories. Finally, we observe that the relationship between POM decisions and public policy is bi‐directional. This highlights the need to jointly examine operational decisions with policy considerations, especially in information goods, healthcare, sustainable operations and high‐tech manufacturing industries.     

THE EFFECT AND COST OF FORECAST ERROR BIAS FOR MULTIPLE-STAGE PRODUCTION-INVENTORY SYSTEMS

This paper examines forecast error with an intention not to minimize forecast error so much as to bias the resultant error in order to achieve better managerial results. Much work has been accomplished by other researchers toward the goal of minimizing forecast error—sometimes by the use of sophisticated forecasting techniques. The results of this paper indicate that manipulating forecast error bias may be the better managerial strategy as opposed to going to great lengths to minimize forecast error. Subject Areas: Forecasting, Aggregate Planning, Capacity Planning, and Production/Operations Management.     

Education: MRP/GT: A FRAMEWORK FOR PRODUCTION PLANNING AND CONTROL OF CELLULAR MANUFACTURING

American industry typically uses material requirements planning (MRP) for manufacturing control. This paper presents production planning and control procedures based on group technology (GT), which is used in British manufacturing. A translation between these ideas and the American approach is made, and it is suggested that a combination of MRP and GT is viable. The problems that arise, especially in the areas of lot-sizing and sequencing/scheduling, and their possible solutions are discussed. Since increased adoption of GT is expected within the next decade, an intensified research effort is warranted in these and other areas so that existing MRP systems can be modified or extended to handle cellular manufacturing control problems. Subject Areas: Material Requirements Planning and Production/Operations Management.     

Viability of Auction‐Based Revenue Management in Sequential Markets

The Internet is providing an opportunity to revenue management practitioners to exploit the potential of auctions as a new price distribution channel. We develop a stochastic model for a high‐level abstraction of a revenue management system (RMS) that allows us to understand the potential of incorporating auctions in revenue management in the presence of forecast errors associated with key parameters. Our abstraction is for an environment where two market segments book in sequence and revenue management approaches consider auctions in none, one, or both segments. Key insights from our robust results are (i) limited auctions are best employed closest to the final sale date, (ii) counterbalancing forecast errors associated with overall traffic intensity and the proportion of customer arrivals in a segment is more important if an auction is adopted in that segment, and (iii) it is critically important not to err on the side of overestimating market willingness to pay.