Trade-offs among the elements of flexibility: a comparison from the automotive industry

Flexibility has long been recognized as a manufacturing capability that has the potential to impact the competitive position and the business performance of an organization ([1]: Cox Jr, T. Toward the measurement of manufacturing flexibility. Production and Inventory Management Journal 1989; First Quarter:68–72, [2]: De Meyer A, Nakane J, Miller JG, Ferdows K. Flexibility: the next competitive battle. Strategic Management Journal 1989;10:135–144). This recognition, however, has not led to a unanimous approach to flexibility. For example, Japanese manufacturers emphasize flexibility more than North American or European manufacturers ( [2]: De Meyer A, Nakane J, Miller JG, Ferdows K. Flexibility: the next competitive battle. Strategic Management Journal 1989;10:135–144). While this finding provides insight into the strategic choices made by these organizations in these countries, it does not provide an in-depth comparison of specific aspects of flexibility that are leveraged and emphasized differently. Such a comparison is necessary, however, if flexibility is to be more fully understood.This paper takes a step in that direction by first breaking down the concept of flexibility into its constituent elements and dimensions. Then we introduce the notion of looking at flexibility as a capability that must be planned for and built by a firm over a period of time along these constituent elements and dimensions. Questions are subsequently raised regarding whether trade-offs occur among different elements for a given flexibility dimension. We use industry wide as well as firm-specific qualitative data from the automotive industry to answer these questions, and show that several key aspects of manufacturing flexibility have been acquired and leveraged differently by American and Japanese producers. While linkages to business performance are not directly explored, our analysis reveals that even within the same industry, firms from different countries do indeed follow different strategies to developing their flexibility capability. Implications of these results for managerial practice, along with avenues for further research in this area, are also presented.     

武器装备建设管理信息集成化问题研究

提高国防实力必须加强武器装备建设,武器装备建设管理信息集成化是实现武器装备现代化建设的有效途径。本文介绍了武器装备建设信息集成化的内涵及作用,分别阐述了CALS、SBA、VR、IMS等先进的装备建设信息集成化技术和方法,给出了建设武器装备信息集成化系统的建议。     

可重构制造系统的体系结构

可重构制造系统是现代企业生存和发展的基本手段,具有较高可重构性的企业能在难以预测的环境中,面对竞争对手脱颖而出,本文从可重构制造系统的概念,组织体系,商业体系,产品体系及信息体系等方面研究了可重构制造系统的体系结构,探讨了可重构制造系统的可行性。     

Optimal Temporal Customer Purchasing Decisions Under Trade‐In Programs with Up‐Front Fees

To entice customers to purchase both current and new generation products over time, many firms offer different trade‐in programs including programs that require customers to pay an up‐front fee. To examine the effectiveness of the trade‐in programs, we develop a two‐period model in which a firm sells the first generation product in the first period and the second generation product in the second period; however, the firm offers a trade‐in program that customers can participate in when purchasing the first generation product in the first period. To participate, each customer has to pay a nonrefundable fee in the first period so that she has the option to trade‐in her first generation product and receive a prespecified trade‐in value to be used for the purchase of the second generation product in the second period. To capture market heterogeneity and market uncertainty, we examine the case when the valuation of the first generation product varies among customers and the valuation of the second generation product is uncertain a priori. By analyzing a two‐period game, we determine the optimal purchasing behavior of each rational customer, and we show that the firm is always better off by offering its own trade‐in programs. Also, our numerical analysis reveals that trade‐in programs can benefit the firm significantly especially when (i) the residual value of the first generation product is high; (ii) the expected incremental value of the second generation product is high; or (iii) the valuation of the second generation product is highly uncertain.     

Competitive Goals and Plant Investment in Environment and Safety Practices: Moderating Effect of National Culture

Operations managers clearly play a critical role in targeting plant‐level investments toward environment and safety practices. In principle, a “rational” response would be to align this investment with senior management's competitive goals for operational performance. However, operations managers also are influenced by contingent factors, such as their national culture, thus creating potential tension that might bias investment away from a simple rational response. Using data from 1,453 plants in 24 countries, we test the moderating influence of seven of the national cultural characteristics on investment at the plant level in environment and safety practices. Four of the seven national cultural characteristics from GLOBE (i.e., uncertainty avoidance, in‐group collectivism, future orientation and performance orientation) shifted investment away from an expected “rational” response. Positive bias was evident when the national culture favored consistency and formalized procedures and rewarded performance improvement. In contrast, managers exhibited negative bias when familial groups and local coalitions were powerful, or future outcomes—rather than current actions—were more important. Overall, this study highlights the critical importance of moving beyond a naïve expectation that plant‐level investment will naturally align with corporate competitive goals for environment and safety. Instead, the national culture where the plant is located will influence these investments, and must be taken into account by senior management.     

Modeling compliance to environmental regulation: Evidence from manufacturing industries

We examine the demand for pollution control equipment from 1973 to 1991 by those U.S. manufacturing industries that are highly sensitive to environmental regulation. We also consider the political determinants of the U.S. Environmental Protection Agency (EPA) enforcement budget. Because, as we demonstrate, the EPA enforcement budget is an important determinant of the industries' investment in pollution control equipment, we are able to establish a relationship between political factors and economic decision making on the part of the industries. Thus, our analysis demonstrates that the demand for pollution control equipment is sensitive to both economic and political factors.     

战略管理会计中价值链在竞争对手分析的应用

随着知识经济的兴起,社会经济环境的变化,传统管理会计越来越不能满足管理者对管理会计信息的需要,管理会计日益显示出明显的滞后,迫切需要变革。战略管理会计应运而生。战略管理会计中价值链在竞争对手分析强调了企业外部竞争对手的变化对本企业现金流量的影响。     

Is the scheduling task context-dependent? A survey investigating the presence of constraints in different manufacturing contexts

Abstract

Most studies regarding real scheduling constraints only consider the constraints related to the specific manufacturing environment studied, limiting the possibility of drawing general conclusions. A survey of 50 companies was conducted in order to discover which constraints were present and what their relationship was with the scheduling context. This paper investigates which practical scheduling constraints are present in the manufacturing industry and whether the scheduling task is context-dependent. Results of this study show that some practical production constraints are context-dependent.     

Manufacturing bill-of-material planning

The bill-of-material BOM in the machine tool industry takes two different forms in design and manufacturing functions: Engineering BOM E BOM , which is used by the design engineer to represent designed product structure; and manufacturing BOM M BOM , which is used by MRPII system for MRP explosion. The designer constructs the E BOM after the product has been designed. Next, the E BOM is transformed into the M BOM by considering assembly sequence and constraints. Constructing a M BOM simply involves compressing the E BOM into a three-level M BOM. Planning of a M BOM still depends primarily on the experience input of a manufacturing engineer and is performed manually. This trial and error and time consuming approach creates an inconsistent method for planning the M BOM. Therefore, in this study, a three-stage M BOM planning method is developed. Stage one plans the initial M BOM, stage two improves the M BOM and stage three tunes the M BOM. Concepts and algorithms of each stage are highlighted in this study. Moreover, an illustration is presented to demonstrate the feasibility of M BOM planning.     

Measurement Equivalence Using Generalizability Theory: An Examination of Manufacturing Flexibility Dimensions

As the field of decision sciences in general and operations management in particular has matured from theory building to theory testing over the past two decades, it has witnessed an explosion in empirical research. Much of this work is anchored in survey‐based methodologies in which data are collected from the field in the form of scale items that are then analyzed to measure latent unobservable constructs. It is important to assess the invariance of scales across groups in order to reach valid, scientifically sound conclusions. Because studies have often been conducted in the field of decision sciences with small sample sizes, it further exacerbates the problem of reaching incorrect conclusions. Generalizability theory can more effectively test for measurement equivalence in the presence of small sample sizes than the confirmatory factor analysis (CFA) tests that have been conventionally used for assessing measurement equivalency across groups. Consequently, we introduce and explain the generalizability theory (G‐theory) in this article to examine measurement equivalence of 24 manufacturing flexibility dimension scales that have been published in prior literature and also compare and contrast G‐theory with CFA. We show that all the manufacturing flexibility scales tested in this study were invariant across the three industry SIC groups from which data were collected. We strongly recommend that G‐theory should always be used for determining measurement equivalence in empirical survey‐based studies. In addition, because using G‐theory alone does not always reveal the complete picture, CFA techniques for establishing measurement equivalence should also be invoked when sample sizes are large enough to do so. Implications of G‐theory for practice and its future use in operations management and decision sciences research are also presented.