THE EFFECT OF PROJECT RISK ON CAPITAL RATIONING UNDER UNCERTAINTY

The purpose of this paper is to investigate the effect of project risk on capital rationing with uncertain budgetary constraints. We reflect project risk by the standard deviation of cash flows. The problem is formulated in a stochastic linear programming with simple recourse (SLPSR) framework. In a sample problem, we vary the level of project risk and allow the probability distribution for the right-hand side constraints to be either symmetric or left skewed. We demonstrate that SLPSR yields superior solutions to an equivalent deterministic formulation and that risk aside, the borrowing rate is an important factor in determining the optimal solution vector. Moreover, we show that low project risk can compensate for higher borrowing costs and that the presence or absence of probability distribution asymmetry may not be an important issue.     

Steady state and portfolio concept in R & D management

This paper describes a new approach for closing the gap between the tools for strategic goal management and operational management in Pharmaceutical R&D. The strategic level may concern with expectation of sales, rising from new products and with total R & D budget. The operational level concerns with project selection, project and multiproject management problems, solution of project related technical problems, determination of the size of the various functions and the functional management. This new method combines the R & D project portfolio management with a steady state concept allowing the attainment of a constant number of projects under development and a continuous full use of the capacity available.     

Problem‐formulation and problem‐solving in self‐organized communities: How modes of communication shape project behaviors in the free open‐source software community

Research summary: Building on the problem‐solving perspective, we study behaviors related to projects and the communication‐based antecedents of such behaviors in the free open‐source software (FOSS) community. We examine two kinds of problem/project‐behaviors: Individuals can set up projects around the formulation of new problems or join existing projects and define and/or work on subproblems within an existing problem. The choice between these two behaviors is influenced by the mode of communication. A communication mode with little a priori structure is the best mode for communicating about new problems (i.e., formulating a problem); empirically, it is associated with project launching behaviors. In contrast, more structured communication fits subproblems better and is related to project joining behaviors. Our hypotheses derive support from data from the FOSS community. Managerial summary: We study how the way in which individuals communicate influence the project‐behaviors they engage in. We find that relatively unstructured communication is associated with the setting up new projects, while communication that is structured around an artifact is associated with joining projects. Our findings hold implications for understanding how management may influence project behaviors and problem‐solving: Firms that need to concentrate on more incremental problem‐solving efforts (e.g., because a sufficient number of attractive problems have already been defined) should create environments in which interaction is undertaken mainly via artifacts. On the other hand, if firms seek to generate new problems (e.g., new strategic opportunities), they should create environments in which open‐ended, verbal conversation is relatively more important than artifact‐based communication. Copyright © 2015 John Wiley & Sons, Ltd.     

石油企业提高物资采购质量探讨

从石油行业物资采购工作的特点、管理存在的问题入手,就如何引入质量管理理论实现科学理性采购,强调企业在供应链管理环境下应该通过全过程的质量控制手段．与伙伴供应商建立一种新型的合作伙伴关系,以达到提升供应链整体竞争能力的目的。研究了如何根据企业的实际需要,有目的地对伙伴供应商进行识别、评价与选择,为伙伴供应商的选择提供科学的方法和依据。     

Risk sharing in procurement

We introduce bilateral risk aversion into the mixed adverse selection - moral hazard model of Laffont and Tirole (1986). The presence of exogenous risk interacts with the adverse selection problem in interesting ways. In particular, we show that it is never optimal to present the firm with a fixed price contract, that the efficient firm typically bears more risk than the inefficient firm, and that an increase in exogenous risk may bring about a decrease in expected cost of the project. As a by-product, we also establish that the famous ‘no-distortion-on-the top’ result in adverse selection models relies on risk neutrality of the agent.     

Factors influencing partner selection in strategic alliances: the moderating role of alliance context

The growth of alliances has generated considerable interest in this topic among both academics and practitioners. While multiple factors may affect alliance success, partner selection emerges as one of the most influential. Previous studies on alliances present general models that assume the factors (e.g., trust, commitment, complementarity, financial payoff) that drive partner attractiveness and, in turn, the likelihood of selection, are consistent across varying alliance projects and situations. In contrast, the present study proposes a contingency approach grounded in management control theory that suggests the criteria managers use in choosing alliance partners will vary by alliance project type. Specifically, it introduces a framework that addresses when and why managers select partners with certain, specific characteristics. The results of the present study strongly support hypotheses that the critical criteria for assessing alliance partner attractiveness and selection vary depending on the differential levels of process manageability and outcome interpretability inherent in a strategic alliance. Implications for theory and practice are discussed. Copyright © 2008 John Wiley & Sons, Ltd.     

A decision method for supplier selection in multi-service outsourcing

Although supplier selection in multi-service outsourcing is a very important decision problem, research concerning this issue is still relatively scarce. This paper proposes a decision method for selecting a pool of suppliers for the provision of different service process/product elements. It pioneers the use of collaborative utility between partner firms for supplier selection. A multi-objective model is built to select desired suppliers. This model is proved to be NP-hard, so we develop a multi-objective algorithm based on Tabu search for solving it. We then use an example to show the applicability of the proposed model and algorithm. Extensive computational experiments are also conducted to further test the performance of the proposed algorithm.     

关于建设方式决策的技术经济评价

论述了中外合资项目中自建、运行与第三上有－运行配套设施或基础化学方案的以方法 。     

Constraint programming for project-driven manufacturing

Project-driven manufacturing, based on the make-to-order or the build-to-order principle and predominant in small and medium-size enterprises (SMEs), calls for an efficient solution of large combinatorial problems, especially in such areas as task scheduling or resource management. This paper addresses the problem of finding a computationally effective approach to scheduling a new project subject to constraints imposed by a multi-project environment. A constraint programming (CP) modeling framework is discussed in the context of an efficient decomposition of the constraint satisfaction problem (CSP) and the evaluation of strategies for pruning the search tree. The proposed approach is illustrated through examples of its application to the evaluation of a new production order.     

The use and development of a research project planning and progressing system

This paper discusses the use and development of a research project planning and progressing system based on the system described by Baker & Smith (1967). It is an attempt to highlight some of the practical problems involved in setting up and developing such a system at Colworth/Welwyn, the largest Unilever research laboratory in the United Kingdom. The problem at Col worth/Welwyn, as at Port Sunlight, was to improve communications at all levels of management, and, in particular, to direct senior management's attention to those areas where it was most needed.
The system described here is only a project control system, and does not formally cover other aspects of research management such as project selection and result implementation. A project control system was chosen as the starting point because it was regarded as the most important, and the easiest to implement throughout the whole laboratory.
This paper was first presented at a conference to the R & D Study Group of the Operational Research Society, February 1970.     

Optimal flow-line conditions with worker variability

When classical scheduling theory is applied to task sequencing problems, human characteristics are often not the primary consideration and their impact is often assumed away. In this paper, we examine the workforce scheduling problem in sequential flow line systems. We investigate the impact of within-worker and between-worker variability and discuss the selection of scheduling policies between fixed and work-sharing systems. The methodology includes human performance modeling with the objective to maximize throughput with general results with respect to productivity model. We are interested in determining and characterizing the optimal switching time between workers in work-sharing systems. A closed form solution is established in the case of two and three tasks with two workers. For a general number of workers and tasks we establish the maximum number of changes between assignments. We also establish a bound on throughput. Results allow one to solve workforce scheduling problems reduced complexity given the current set of bounds and conditions.     

Stepping in and stepping out: Strategic alliance partner reconfiguration and the unplanned termination of complex projects

Research summary : I add to work that emphasizes the stability of strategic alliances by considering the consequences of alliance partner reconfiguration. I offer two contrasting perspectives: (1) alliance partner reconfiguration leads to disruption, hence increases the risk of subsequent project termination; (2) partner reconfiguration leads to adaptation, hence decreases this risk. Data on 1,025 interfirm Australian mining alliances (2002–2011) shows that on average alliance partner reconfiguration increases the risk of project termination. For firm exit from an alliance, the effect is contingent on a firm's resource base, but not for firm entry. Surprisingly, I do not find that alliance partner reconfiguration is beneficial in a dynamic environment. I discuss the implications of these findings for the literature on strategic alliance dynamics and that on strategic alliance outcomes. Managerial summary : This paper studies what happens when over time strategic alliances change their original membership. The research shows that both entry in and exit from an alliance increase the risk of project termination. Hence, weathering difficult times and managing conflict by keeping teams stable should be a prime directive if project survival is the alliance partners' overriding concern. In addition, I find that the exit of a firm with a comparatively large resource base increases the hazard of termination more than if the departing firm has a relatively small resource base. Therefore, one cannot underestimate the importance of trying to keep on board those alliance partners who bring a critical resource to the table. Copyright © 2015 John Wiley & Sons, Ltd.     

Using column generation to solve extensions to the Markowitz model

Abstract

We introduce a solution scheme for portfolio optimization problems with cardinality constraints. Typical portfolio optimization problems are extensions of the classical Markowitz mean–variance portfolio optimization model. We solve such types of problems using a method similar to column generation. In this scheme, the original problem is restricted to a subset of the assets resulting in a master convex quadratic problem. Then the dual information of the master problem is used in a subproblem to propose more assets to consider. We also consider other extensions to the Markowitz model to diversify the portfolio selection within given intervals for active weights.     

Mobile Dwelling Unit Developed by a Group of Mechanical Engineering Design Students

The increasing number of homeless people is one of the most burning problems of nowadays world. Society has to find the way to fight against it and provide help to those people that have no place to stay. For short-term interventions, the application of the mobile dwelling units seems to be the only possible solution. However, existing mobile dwelling units are rather limited to specific areas of application. A group of students faced this problem and decided to develop an alternative, more universal mobile dwelling unit that will fulfil a wide range of different technical and social requirements at a reasonable price. The paper describes a systematic approach to development of the mobile dwelling unit, which was performed as a part of the education process at the Faculty of Mechanical Engineering, University of Maribor. The project presented is interdisciplinary. In addition to the educational aspect that is emphasized in this paper, technical, economic and social aspects of the project have also a very important role. From educational point of view, the project was concluded successfully. Moreover, we believe our proposal for a mobile dwelling unit is both novel and suitable for general application. This revised version was published online in July 2006 with corrections to the Cover Date.     

Accessing Material Published in The Engineering Economist from Commercial Data Bases

This paper proposes a new heuristic algorithm for solving the project selection problem. A revised decision criterion in conjunction with the techniques of searching the feasible range and the reduced candidate set is applied to improve the heuristic solution and to minimize the computational efforts. Six hard cases are tested using the presented algorithm and two other methods. Results show that the approach used in this study excels previous works in producing a small feasible range and in dealing with the abnormal data set.     

Optimizing the capital rationing decision with uncertain returns

In this article, we develop a new optimization model for capital rationing with uncertain project returns. Our model maximizes the probability of meeting a predefined target return by selecting a feasible set of projects subject to budget constraints in multiple time periods. We employ a mixed-integer nonlinear algorithm recently developed in the optimization field to solve the resulting nonconvex optimization problem to optimality. Our model and solution methods are tested and validated through a comprehensive computational experiment. Several managerial insights are obtained about the impact of available budget and target return on the optimal solutions. Notably, we have found that increasing target return may not necessarily result in an increase in optimal total expected return of the selected projects. Our model and solution method offer a unified and computationally tractable approach to precisely quantify the tradeoff between project returned and risk.     

Trust Formation in Collaborative New Product Development*

This research examines antecedents of trust formation in new product development partnerships and the effect of trust on performance. Trust is modeled as an outcome of communication behavior, shared problem‐solving, perceived fairness, the existence of conflicts during the development project, and partner egoism. The hypotheses are tested with data on 44 product development partnerships representing the perspective of the manufacturer. The findings suggest that communication behavior and fairness are positive contributors to trust. In contrast, conflicts during product development and perceived egoism of the partner appear to have a detrimental effect. High levels of trust were found to create the conditions for successful outcomes. A higher level of trust clearly differentiates between high‐ and low‐performing collaborative relationships in new product development. Trust also was found to be a powerful mediator, particularly as it relates to mitigating conflicts during such partnerships.     

The Effect of "Front-Loading" Problem-Solving on Product Development Performance

In recent years, there has been a growing interest in the link between problem‐solving capabilities and product development performance. In this article, the authors apply a problem‐solving perspective to the management of product development and suggest how shifting the identification and solving of problems—a concept that they define as front‐loading—can reduce development time and cost and thus free up resources to be more innovative in the marketplace. The authors develop a framework of front‐loading problem‐solving and present related examples and case evidence from development practice. These examples include Boeing's and Chrysler's experience with the use of “digital mock‐ups” to identify interference problems that are very costly to solve if identified further downstream—sometimes as late as during or—after first full‐scale assembly. In the article, the authors propose that front‐loading can be achieved using a number of different approaches, two of which are discussed in detail: (1) project‐to‐project knowledge transfer—leverage previous projects by transferring problem and solution‐specific information to new projects; and (2) rapid problem‐solving—leverage advanced technologies and methods to increase the overall rate at which development problems are identified and solved. Methods for improving project‐to‐project knowledge transfer include the effective use of “postmortems,” which are records of post‐project learning and thus can be instrumental in carrying forward the knowledge from current and past projects. As the article suggests, rapid problem‐solving can be achieved by optimally combining new technologies (such as computer simulation) that allow for faster problem‐solving cycles with traditional technologies (such as late stage prototypes), which usually provide higher fidelity. A field study of front‐loading at Toyota Motor Corporation shows how a systematic effort to front‐load its development process has, in effect, shifted problem‐identification and problem‐solving to earlier stages of product development. They conclude the article with a discussion of other approaches to front‐load problem‐solving in product development and propose how a problem‐solving perspective can help managers to build capabilities for higher development performance.     

Stochastic perspective of industrial distribution network processes

This article investigates contemporary distribution processes in the industrial market. The main trend in distribution during the recent decades manifests itself in a growing number of network-type distribution chains. Based on the evolutionary trends in distribution research, we came up with the idea to investigate distribution networks processes using mathematical tools of probability theory. We consider a distribution network in a stochastic way, where a focal agent optimizes the distribution chain at each decision-making node by switching between possible partners. This allows us to apply time-homogeneous Markov chains theory to explore the partner selection process. We present an approach that allows for the estimating of implicit non-price variables of partner choice in a supply chain. The approach is based on the research context of the transitional Russian economy.