Business games and implementation research

This paper reviews some recent research in OR implementation and suggests that a new approach is required, which will take fuller account of the perceptions of managers concerned with the problem. Research games in business settings seem to offer a means for such approach. Some lessons learned from a business game used in this way are described and their implications for modelbuilders are discussed.     

Experience with a multi-year fleet planning model

The fleet planning problem requires determination of the changing airline fleet mix based on existing traffic levels and projected growth, on the existing fleet, various aircraft types available in the future, and other operational and financial considerations. Several applicable mathematical formulations have been reported. One of these has been programmed for the computer and used by the authors for several years. This paper discusses the application of that model to real airline planning situations. Such practical experience has effected changes in the program and the manner it is used in fleet planning studies.     

Hard and soft constraints in linear programming

The linear programme and its constraints are split into two parts. The first consists of the traditional structure, the second being akin to goal programming. SOFT constraints are weighted relative to each other and then approximately weighted relative to the HARD constraints. The LP is run four times giving different emphasis to the SOFT and HARD constraints. The manager requesting the LP has then to decide which gives the most appropriate solution.     

How effective are models?

This article discusses a number of common interpretations of ‘implementation’ in the literature, and how these have been confused. Various different levels of implementation are then discussed, including the concept of model effectiveness. This is concerned with both the operational effectiveness of the model, as shown by a tangible improvement in the system modelled, and the personal effectiveness in helping users learn more about the system itself. Research is then described to explore various aspects of model usage and effectiveness. The research took place in the context of a business game used by a large number of practising managers. An unusual feature of the game was the fact that participants were offered the use of a number of models to aid their decisions. The usage of the models, and their effects, were measured objectively. Results showed that models were used extensively, and their effects were advantageous in a number of ways. The implications of this work are discussed.     

Economic lot disposition policies for single attribute sampling plans

Traditionally, single sampling plans have provided but two possible lot disposition policies, either to (1) accept or reject and screen, or to (2) accept or reject and scrap. This is particularly true of statistical designs. Economically based plans, however, provide a framework wherein several lot disposition policies may be invoked in accordance with estimated lot quality. This paper illustrates how such designs may be realized.     

Joint strategic planning between health and local authorities

This paper describes an approach to joint consideration of strategic planning problems between Health Authorities and Local Authorities. It is currently being pilot tested in the UK by two Area Health Authorities and their corresponding County Councils. The approach is most effective in planning the provision of health and social services for periods between three and ten years ahead and has been particularly designed for planning the non-acute services. These are the services for which joint planning between the health and social services is most important. Depending on local needs and planning priorities the approach may be used for one or more ‘client groups’ (the Elderly, Mentally Ill, Mentally Handicapped, Physically Handicapped etc.). In the pilot applications the approach is being used in planning for the Elderly client group only. The model now used relies on very simple assumptions, arithmetic calculations, and a heuristic optimisation algorithm, in place of a previous mathematical programming model originally aimed at national planning needs and then adapted to local planning. The revised model has achieved these simplifications, while extending the power of the model to fit local needs, by separating out different parts of the problem corresponding to different stages in the planning process, and developing techniques appropriate to each. In a companion paper² in this issue authors from the participating Authorities put their views on the pilot applications of the approach.     

Examining Passive and Active Recruitment Methods for Low-Income Couples in Relationship Education

One of the most difficult aspects of studying low-income couples is the effective implementation of recruitment and retention strategies. Low-income couples face environmental stressors that make participation difficult, and research has yet to identify efficacious methods of recruiting and retaining low-income couples into funded studies. Researchers and practitioners targeting low-income participants rely on a “learn-as-they-go” approach. Therefore, we examined passive and active recruitment strategies for 394 married participants with children under age 18 and reporting a total household income within 200% of the Federal Poverty Guidelines who participated in a federally funded couples and relationship education program. Univariate ANOVAs indicated significant differences between recruitment method and total time spent in couples and relationship education workshops for both women and men. Further, results indicated a relationship exists between recruitment method and the number of follow-up contacts required before participants attended the initial intake appointment. Implications for practice and research are discussed.