A weighted max-min model for fuzzy multi-objective supplier selection in a supply chain

Supplier selection is one of the most important activities of purchasing departments. This importance is increased even more by new strategies in a supply chain. Supplier selection is a multi-criteria decision making problem in which criteria have different relative importance. In practice, for supplier selection problems, many input information are not known precisely. The fuzzy set theories can be employed due to the presence of vagueness and imprecision of information. A weighted max-min fuzzy model is developed to handle effectively the vagueness of input data and different weights of criteria in this problem. Due to this model, the achievement level of objective functions matches the relative importance of the objective functions. In this paper, an analytic hierarchy process (AHP) is used to determine the weights of criteria. The proposed model can help the decision maker (DM) to find out the appropriate order to each supplier, and allows the purchasing manager(s) to manage supply chain performance on cost, quality and service. The model is explained by an illustrative example.     

When the purchasing agent is a committee: Implications for industrial marketing

This article describes a research project that investigated the relationship between the purchasing decision process occurring within a firm and intrinsic factors relating to the product. The study determined the effects of product complexity on the procurement process and identified those dimensions of complexity to which participating departments are sensitive. The results of the study provide information of great value to the theoretical development of buying centers as well as to those involved in targeting industrial marketing efforts.     

Trade and invasive species risk mitigation: Reconciling WTO compliance with maximising the gains from trade

This paper analyses the issue of balancing the gains from trade with the risk of pest and disease transference. Two decision frameworks for determining whether or not to permit trade in a potentially invasive species-carrying good are presented. The first considers only the potential production losses resulting from an invasive species entering through a trade pathway, as is prescribed by WTO compliance. The second is a unilateral welfare-maximising approach which considers the consumer gains from trade, the loss of domestic producers’ market share and expected damage from the invasive species. It is shown that these alternative decision frameworks can be reconciled such that they produce the same outcome regarding whether or not trade is to be permitted. The key parameters which influence these decisions are also highlighted.     

Understanding the interfaces:: How ocean freight shipping lines can maximize satisfaction

Physical distribution services are becoming increasingly important as supply chains strive to become more efficient in the logistical flow of goods to industrial customers. Performance of these services, however, takes place during encounters that customers have with various interfacing departments within the firm. These encounters may ultimately determine the level of satisfaction clients have with the service and the concomitant perceived quality. While previous research in this area has focused on service quality assessment, little attention has been given to determining the pattern of interfacing departments that maximize service satisfaction. This study examines a sample of shipping managers in Singapore who evaluated the service dimensions of ocean freight shipping lines (or companies). Using an analytical method called decision tree calculus, this article identifies the combination of interfacing departments that maximize service satisfaction. The results of this approach offer definite guidance to ocean shipping lines in terms of the importance of key interfacing departments in shaping satisfaction and perceived quality. Implications are discussed.     

Integrated product specifications and productivity decision making in unreliable manufacturing systems

This paper considers joint production control and product specifications decision making in a failure prone manufacturing system. This is with the knowledge that tight process specifications, while leading to a product of more reliable quality and higher market value, are at the same time associated with higher levels of non-conforming parts, a higher rate of parts rejection and thus a lowering of overall plant productivity. The decision making is further complicated by the lack of reliability of the production process, which imposes that an adequate, also to be designed, level of inventory of finished parts be maintained. The overall optimal decision policy is defined here as one that maximizes the long term average per unit time profit of a combined measure of quality and quantity dependent sales revenue, minus inventory and backlog costs, in the presence of random plant failures and random repair durations. Policy optimization is achieved via a revisited model of the Bielecki–Kumar theory for Markovian machines and a simulation and experimental design based methodology for the more general cases.     

Strategic decision making in business relationships: A dyadic agent-based simulation approach

This study employs agent-based simulation to model strategic decision making in business relationships, examining the influence of two important strategy drivers in business relationships (performance and power) on relationship success (relationship survival and performance). The study offers insights into the complex and evolutionary interaction and feedback effects between networking strategy choice, relationship performance and power. Findings show that although certain strategies may be desirable for firms to manage their business relationships, they are not necessarily as successful in all situations. Results indicate that a trade-off exists between relationship context and performance which needs to be considered in strategic networking decisions. Further, the study shows that too many strategy changes cause relationships to become unstable and thus negatively affect performance. The authors refer to this phenomenon as strategy volatility — the rate at which actors change their networking strategies within relationships. This phenomenon arises when too many variables influence firms' decision making and thus cause firms to frequently change their strategy. Although strategy volatility has a relationship safeguarding effect in the short term, this effect diminishes over time.     

Technical entrepreneurship: what do we know?

The factors influencing the birth of new, high-technology firms have been investigated in a number of separate studies. This paper summarizes and reports upon this research. New, technologically-based firms have had, in the aggregate, substantial economic impact. The birth of these companies has been concentrated in particular places and at particular times. The decision to found a new company appears to be influenced by three major factors. The characteristics of the entrepreneur, including the many aspects of his background which make him more or less inclined toward entrepreneur-ship, are important. The organization for which he has been working, which might be termed ‘the incubator organization’ also influences the entrepreneurial decision in various ways. A third factor consists of a complex of external influences, including the availability of venture capital and the collective attitudes toward entrepreneurship. Feedback processes appear to be at work such that past entrepreneurship makes future entrepreneurship more likely.     

Anchoring on the acquisition premium decisions of others

Anchoring is a ubiquitous heuristic by which decision makers heavily rely on a piece of information (anchor) that appears prior to a decision. Yet, we know little about its role in strategic decisions. This study considers its influence on acquisition premiums by examining whether a focal premium decision may be anchored on the premium that another firm paid for the acquisition that directly preceded the focal acquisition in the same market because it presents a salient and compatible premium to decision makers. Our results support this premise, particularly when preceding acquisitions happened more recently and were similar in size to the focal deals, when focal deals were in a foreign market, and when acquirers lacked acquisition experience in the target market or had a higher acquisition rate. Copyright © 2014 John Wiley & Sons, Ltd.     

New Product Team Decision Making: Regulatory Focus Effects on Number,Type, and Timing Decisions*

Company executives rely on new product development teams to carry out their directives and make decisions according to management's goals. However, team members bring their own motivational perspectives to strategic decisions. This research examines how individual and leadership motivations influence a dyadic team's new product decisions. Specifically, this article investigates how matching vs. mismatched motivations between team members affect new product number, type, and timing decisions. In addition, this study asks how effective leadership‐provided motivations are in guiding teams' new product decisions. A set of hypotheses is developed using regulatory focus theory, which identifies basic motivational differences in individuals (i.e., promotion vs. prevention focus) and their effects on decision making. The hypotheses examine the effects of regulatory focus match vs. mismatch within teams on the likelihood to introduce new products, the timing of new product introductions, and the types of new products introduced. To test the hypotheses, a controlled, yet realistic product management simulation is employed. A total of 124 undergraduate seniors (83 women and 41 men) at a large public university enrolled in a marketing management capstone course participated in this study for partial course credit. Utilizing two‐person teams engaged in a business simulation ensured an appropriate level of controlled complexity in the decision making task, while allowing the phenomena of interest to be isolated and tested. Results show that when dyads share the same motivational approach (regulatory focus match), leadership‐prescribed goal pursuit strategies are largely ineffective. Only dyads that do not share the same motivational approach to decision making (regulatory focus mismatch) make new product decisions consistent with leadership‐prescribed goal pursuit strategies. For regulatory focus match dyads, the results demonstrate that a promotion focus (when compared to a prevention focus) leads to greater numbers of new products introduced, faster new product introductions, and more novel new product introductions. For new product managers, these results carry important implications. Which new product opportunities to invest in and which to forgo is presumably determined by the strategic direction given to teams by top management. Results suggest that when team members share the same motivational approach, this not only influences new product decisions, but also diminishes or eliminates the influence top management can exert on new product decisions. Such “isolation” from leadership influences does not have to be detrimental. For example, companies that seek to insulate new product development teams from influences from the top, such as is the case in many new venture incubations, would be well served to staff those teams ensuring a promotion focus match.     

Horizontal merger analysis

Economic analysis of competition regulation is most developed in the domain of horizontal mergers, and modern agency guidelines reflect a substantial consensus on the appropriate template for merger assessment. Nevertheless, official protocols are understood to rest on a problematic market definition exercise, to use HHIs and ΔHHIs in ways that conflict with standard models, and more broadly to diverge with how economic analysis of proposed mergers should be and often is conducted. These gaps, unfortunately, are more consequential than is generally appreciated. Moreover, additional unrecognized errors and omissions are at least as important: analysis of efficiencies, which are thought to justify a permissive approach, fails to draw on the most relevant fields of economics; entry is often a misanalyzed afterthought; official information collection and decision protocols violate basic tenets of decision analysis; and single-sector, partial equilibrium analysis is employed despite the presence of substantial distortions (many due to imperfect competition) in many sectors of the economy. This article elaborates these deficiencies, offers preliminary analysis of how they can best be addressed, and identifies priorities for further research.     

EU animal welfare policy: Developing a comprehensive policy framework

Many EU citizens are concerned about animal welfare. The policy literature has responded to these concerns by suggesting a variety of policy instruments to policy makers. However, a gap in knowledge exists regarding which instrument should be applied under which conditions in the policy environment. This article presents the results of multiple inductive case studies of eight European countries to better understand the contingencies to animal welfare policy instruments and to further complement the framework of policy instruments available to policy makers. The qualitative evidence from this study is presented in the form of a policy decision tree indicating instruments likely to be effective under given conditions. The findings suggest that a “one size fits all” solution for animal welfare in the EU is unlikely to be effective and that although a market-based policy within the current EU context is in many cases inevitable, the barriers are numerous and require policy instruments tailored to the specific context.     

First Experiences with a Ranking Method for Portfolio Selection in Applied Research

Abstract— Starting from the premise that commercial research aims to maximize the expected profitability for a given expenditure on research, a Profitability Index is derived based on a decision tree concept. The practical application of this Profitability Index at the British Petroleum Company Limited's Sunbury Research Centre in the context of research sponsored by several departments is then described.     

An Annotated Bibliography of Estimation Procedures Useful in Engineering Economy

Standard decision analysis involves the folding-back of decision trees. This paper provides a simpler approach to evaluating decision trees. It is shown that under certain conditions two-stage trees may be evaluated by inspection of the trees and their probability distributions. Examples are presented of practical problems in which this technique is used.     

Strategic decision analysis: Applied decision analysis and its role in the strategic management process

This paper examines a role for applied decision analysis in the strategic management process. It is argued that decision analysis should be regarded both as a heuristic and a ‘thinking’ algorithm for decision structuring and problem diagnosis and, in addition, as an input to the process of policy dialogue. A policy dialogue paradigm using decision analysis is outlined, in which various viewpoints are reconciled by the questioning of analyses and assumptions. This dialogue paradigm is viewed as being compatible with approaches such as strategic assumptions analysis, which have been suggested in the literature as an aid for the processes of problem finding, formulation and solution.     

Product-based planning: the importance of project and project management deliverables in the management of clinical trials

As the cost of clinical trials continues to rise organisations are looking at ways of managing this part of the drug development process as effectively and efficiently as possible. As a tactical response, many pharmaceutical companies outsource the management of clinical trials to clinical research organisations on a fixed-price contract basis. This paper presents an alternative approach based on the concept of Product-Based Planning. Key elements of the approach are the creation of a deliverables budget and the establishment of project management-related deliverables. The conceptual developments described in the paper are supported by a telephone survey of 10 UK practitioners. The survey confirms the prevalence and limitations of fixed-price contracts while highlighting a willingness to try a deliverable-based approach – initially through small pilot studies. The key barrier to implementing a new approach is resistance from key stakeholders, such as finance departments, which can be addressed through selling of the business case.     

Applying a system concept to R&D management

The author has long been an advocate of the systems approach to forecasting, particularly in the area of resource allocation. In making a number of seminar presentations to middle and senior management, both in the U. K. and the U. S. A., questions from the floor revealed that systems thinking is not as widespread as had been believed. While the media's past attention to the ‘Limits of Growth’ (Meadows, 1972) has communicated the impossibility of infinite expansion, many decision makers remain unaware of the closed-loop characteristics of the systems in which they work. On the contrary. While activities are often seen as the prime raison d'etre, the nature and origin of the driving force is often mis-interpreted and the modifying feed-back controls completely ignored. This paper, therefore, attempts to show that a basic closed-loop system is the only rational precursor to methodology development for decision making. If this action reveals the genuine system parameters then the researcher may well be performing his most helpful service to the decision maker.     

中国高端制造业空间结构变动的实证研究:2003～2009

当前各地发展战略性新兴产业出现了一哄而上的低水平发展现象,因此亟需规划各个战略性新兴产业的空间布局.产业空间结构现状及变动趋势可以为产业布局决策提供现实依据.高端制造业是战略性新兴产业的重要部分,本文利用修正后的E-G指数实证研究了其在2003～2009年的空间结构变动.结果显示:高端制造业集聚空间结构呈现出聚集和扩散两者并存的特性.东部沿海地区是高端制造业的主要集聚地,中西部地区的河南、河北、湖北和四川成为产业扩散的主要承接地.本文认为战略性新兴产业的空间布局要体现出“适度集聚”和“因地制宜”的特征.     

Exploratory Results on the Importance of R&D Knowledge Domains in Businesses with Different Strategies

A number of studies have described the consequences of the changing patterns in the business environment for R&D departments. Fewer studies have addressed the specific implications of the changing business environment for the agenda of R&D managers. Gupta and Wilemon (1996) have provided R&D managers with a priority list for action designed to be applicable to R&D departments independent of business strategy. However, a substantial body of literature suggests that the priority listing may be different for R&D departments in businesses with different strategies. Against this background this study sets out to determine whether the priority listing is different for Miles and Snow's (1978) strategic archetypes of prospectors, analyzers, defenders and reactors. A total of 72 R&D managers of businesses competing in industrial markets in the Netherlands provided the data to test for the existence of these differences. The results indicate that the priority listings are indeed different for R&D departments in businesses with different strategies. This finding has important practical implications. The priority listings can be used by R&D managers to assess which R&D capabilities have to be developed in order to match R&D strategy with business strategy and meet the criteria for getting more commercial payback from R&D in a changing business environment.     

Testing theories of regulatory behavior

Many decisions by regulators have been analyzed over the last two decades in an effort to test regulatory behavioral theories. As a result, the interest group theory of behavior has gained a considerable following and the public interest theory has been largely dismissed. However, many of these tests are inadequate; with the regulatory decisions analyzed, both the interest group and public interest theories lead to the same predictions. To properly distinguish between these theories, a set of necessary conditions that a regulatory decision must satisfy is developed. Based on these conditions and the extant empirical literature, public interest concerns of regulators cannot be dismissed, and a more general theory of regulatory behavior is suggested.     

Generalizing industrial buying: A longitudinal study

This paper expands and updates a major survey conducted in 1970 by Scientific American, Inc. Both surveys were designed to measure the influence of key corporate groups or departments on the purchasing decision. Despite major differences in the two samples, there was very good agreement between the two surveys. All the Kendall's rank correlation coefficients were significant at the 0.05 level. The purchasing department continues to play a key role in the purchase of materials, component parts, and equipment, especially when it comes to taking advantage of new price differentials, surveying available makes, and choosing suppliers. The applications of the results are explored in two short cases.