Meeting the challenges of information systems planning

Strategic information systems planning (SISP) is the process of deciding the objectives of computing for an organization and then identifying the applications that the organization should computerize. SISP has become increasingly important as information systems have begun to play a more critical role in implementing business strategies. However, SISP is beset with problems that hinder organizations from determining their computing objectives and applications. This article identifies the impediments to SISP and offers some constructive actions for business planners to take to increase their chances of success. It also suggests that planners may face greater difficulties implementing their information systems plans than in initially creating them.     

Leadership skills and the group performance: Situational demands,behavioral requirements,and planning

In recent years, the role of cognitive skills in shaping leader performance has received more attention. In the present study, the role of one key set of skills, planning skills, was examined with respect to leader emergence and group performance in a sample of 55 groups, containing 195 undergraduates, working on a business planning task. Leader planning skills were assessed along with structuring and considerate behavior under conditions where task complexity, group diversity, and turbulence were examined as potential influences on the need for planning and the need for leaders possessing planning skills. It was found that complexity, diversity, and turbulence influenced the quality and originality of group plans, as well as structuring behavior on the part of leaders. Leader structuring behavior interacted with leader planning skills in determining the quality and originality of group plans. The implications of these findings for understanding the role of planning skills in shaping leader emergence and group performance are discussed.     

Closing the gap between planning and control

Top management responsible for setting objectives, determining organizational purpose and developing appropriate structures are almost always far removed from the harsh realities of implementing plans and subsequent operational control. This paper explores two traditional responses to the problems of planning and control before explaining ways and means for integrating the functions through using the Expectations Approach which appears to offer a bright future for a career in planning and control, and also a constructive aid to the Board wishing to translate strategy into detailed operational programmes. Furthermore, it must be emphasized that in a rapidly changing social, political and industrial relations environment, the integration of planning and control becomes more critical unless planning is to become merely an expression of pious hope rather than a means of achieving the desired future.     

Strategic planning in government-dependent businesses

As the role of government has expanded in various countries, standard distinctions between the public and private sectors have become blurred. This paper explores the special context within which strategic planning must take place in organizations with a very high dependence on government. Four types of government dependency are considered: ownership dependency (public enterprises); regulation dependency (private, regulated firms); input-dependency (e.g. non-profits dependent on state funding); and output-dependency (e.g. defence contractors who sell a considerable portion of their output to governments).Despite their seeming differences, all four types of government-dependent organizations (GDOs) experience five distinctive problems that seriously limit the relevance of traditional planning models (or what are often referred to as ‘rational, comprehensive models’). They are: fragmented strategic decision-making authority; heightened goal ambiguity; politicization of strategic decision-making; short-term orientation and internal bureaucratization.The concepts of strategy and strategic planning are as relevant to Government dependent organizations (GDOs) as they are to other kinds of firms, although the planning system has to be designed somewhat differently. Six tentative guidelines for designing the planning system in GDOs are presented in the paper: (1) plans must be ‘negotiated’ rather than ‘formulated’ in GDOs; (2) outsiders must be involved in the planning process; (3) socio-political issues must be integrated with technoeconomic tissues; (4) top management must play an active role in running the system, especially in managing interfaces with government; (5) the planning system should emphasize flexibility over discipline or rigor and (6) plans must be written up with the expectation that much of their contents could become public knowledge.The paper concludes with the view the GDOs may have a lot to learn from one another despite superficial differences in institutional status (public vs private) and nature of goals (for- profit vs not-for-profits).     

A look at major planning methods: development, implementation, strengths and limitations

The purpose of this paper is to prepare an overview of planning as it is carried out in an organizational setting. The format utilized will be to examine the planning process in the context of three of the most popular planning models; management by objectives (MBO), program evaluation and review technique (PERT), and planning— programming—budgeting system (PPBS). Each of these models will be discussed in terms of the reasons for its development, the mechanics of implementing the model, the strengths of the model, and its basic limitations.     

Aggregate production planning using spreadsheet software

Firms can benefit by developing and using aggregate production plans. However, reports of ongoing production planning applications are rare. The complexity of production planning models has been cited as one of the reasons that firms do not develop formal production plans. This study was conducted to determine if a simple model, trial-and-error on a spreadsheet, could be used to produce cost-effective production planning solutions. Results indicate that good solutions can be obtained using this method. Furthermore, solutions tend to improve as the knowledge of the production planner increases and as time spent developing solutions increases. In addition, experience at producing spreadsheet-based solutions can translate into lower cost solutions for more complex problems while using less time for analysis. These findings indicate that spreadsheets can be effective decision aids for developing production planning solutions. By coupling the power and simplicity of a spreadsheet modelling package with the trial-and-error approach to production planning, model complexity should no longer be cited as a reason for not developing and using formal aggregate production plans.     

Formalized Dissent and Cognitive Complexity in Group Processes and Performance*

Research suggests that two methods of introducing dissent, the dialectic inquiry (DI) and devil's advocate (DA) methods, show promise for increasing the cognitive complexity of decision makers. We investigated the joint effects of formalized dissent and group cognitive complexity by manipulating the formalized dissent method (DI or DA) used by 25 interacting groups engaged in a complex, ill-structured planning task. Participants were classified as either high or low cognitive complexity and assigned to stratified groups with members of homogeneous complexity. Results indicated that: (1) DA groups produced higher quality assumptions but took longer to generate plans than did DI groups, (2) high complexity groups generated more recommendations relative to low complexity groups, and (3) DA groups with low complexity members produced lower quality recommendations and participated less equally in decision making than did the other groups. We conclude by discussing the implications of the results for formalized dissent, cognitive complexity, and assessing managerial performance.     

Planning for strategic decision support systems

The emergence of Strategic Decision Support Systems has opened up new vistas for the true integration of formal models into the strategic planning process. However, with these new opportunities also come the need to develop planning mechanisms that will permit these sophisticated systems to achieve their potential. The process of strategic planning for Strategic Decision Support Systems that is described in this article serves to cast the organization's overall plans, strategies and strategic attributes into a framework that can be used to develop formal SDSS plans.     

The components of strategic planning

What is the current level of strategic planning in the United States? What objectives are quantified in the strategic plans? What kinds of environmental factors are identified in the planning process? What areas are planned for? How often are the strategic plans reviewed? These are among the questions which were raised in a recent survey of 323 companies whose results are summarized in this paper. It is hoped that this study will permit practitioners to compare their planning with planning being performed in their industry.Suggested improvements in the stategic planning process include more frequent monitoring of performance against the plans, more comprehensive environmental surveillance, and greater emphasis on organizational structure plans. The strategic planning process was found to be constantly evolving and cyclical. The strategic planning activity expanded during adversity and contracted when business prospects were good.     

A Methodology for Integrating Tsunami Inundation Modelling into Land Use Planning in New Zealand

Guidance has been produced for land use planners and decision-makers on how tsunami inundation modelling can be included into land use planning. The process of developing the guideline included exploring the difficulties in integrating physical science models into land use planning with a focus on tsunami. These difficulties included addressing uncertainty and reconciling planners' needs with the capability of the modellers. The guidance was based on two key questions. (1) How can tsunami modelling be incorporated into land use planning? (2) What information do planners need from modellers to improve planning and policy for tsunami? The purpose of this paper is to provide a brief overview of the guideline, with the aim of assisting others in producing similar guidance for implementing tsunami modelling into land use planning. The guideline includes tsunami basics, a decision tree for including tsunami risk into land use planning, which forms the basis of the guideline.     

Business planning in successful small firms

Strategic planning has been widely publicized during the last decade, but what has been accomplished by this management activity in smaller, high-growth firms? Business plans have been widely recommended for start-up funding, but we have noted additional uses for business plans in pratice. This article reports methods and results of strategic planning and written business plans in high-growth ‘INC. 500’ firms. In spite of a variety of obstacles, over half of the firms conduct strategic planning on a regular basis. Results of this study show that fast-growth firms develop written business plans as a product of strategic planning, mainly by five key management personnel. Written business plans are used more for internal management purposes than for start-up funding. Finally, the completion of strategic planning is positively associated with a firm's profitability. Based on survey and interview data, this article describes a four-phase model to help ensure effective integration of strategic planning processes and the resulting written business plans.     

Participative planning at Swiss reinsurance

Reinsurance—the insurance of insurance companies—is very much a behind-the-scenes business. It is not surprising to see that planning seminars and planning literature rarely touch on the problems of developing and implementing corporate planning models in this field. The Swiss Reinsurance planning example might show how sources from various industries and ‘doctrines’ were blended together and built to form a compact medium-term planning ‘package’ for a very specific type of service business.     

Motivated information processing in organizational teams: Progress,puzzles, and prospects

Much of the research into group and team functioning looks at groups that perform cognitive tasks, such as decision making, problem solving, and innovation. The Motivated Information Processing in Groups Model (MIP-G; De Dreu, Nijstad, & Van Knippenberg, 2008) conjectures that information processing within such groups is strongly affected by two types of motivation: epistemic motivation (low–high) is thought to drive the depth of information processing, whereas social motivation (pro-self–pro-social) will influence the kind of information that is processed. The model predicts that high quality group outcomes may be expected especially when high epistemic motivation is coupled with pro-social motivation, because under these conditions groups process information extensively to foster collective goals. Here we review the model, its evidence, and some puzzling findings. We integrate this work with adjacent literatures on shared mental models and transactive memory systems, and extend the model to situations in which groups face rivaling out-groups and regulate intergroup competition and conflict. Throughout our review, we highlight possibilities for further research and propose testable hypotheses.     

Hospital and medical staff strategic planning: developing an integrated approach

The physician as the principal customer of the hospital is a relatively new concept, indicative of the shift to a more complete market orientation in strategic planning. Although medical staff and medical community dynamics receive increasing attention in strategic planning, much more sophistication is now needed to involve physicians constructively in strategic planning for the hospital and medical staff. While full consonance of physician and hospital plans may be achievable only in a completely integrated delivery system, there is considerable room for improvement in current organizational models.     

Stabilized‐Cycle Strategy for Capacitated Lot Sizing with Multiple Products: Fill‐Rate Constraints in Rolling Schedules

In practice, deterministic, multi‐period lot‐sizing models are implemented in rolling schedules since this allows the revision of decisions beyond the frozen horizon. Thus, rolling schedules are able to take realizations and updated forecasts of uncertain data (e.g., customer demands) into account. Furthermore, it is common to hold safety stocks to ensure given service levels (e.g., fill rate). As we will show, this approach, implemented in rolling schedules, often results in increased setup and holding costs while (over‐)accomplishing given fill rates. A well‐known alternative to deterministic planning models are stochastic, static, multi‐period planning models used in the static uncertainty strategy, which results in stable plans. However, these models have a lack of flexibility to react to the realization of uncertain data. As a result, actual costs may differ widely from planned costs, and downside deviations of actual fill rates from those given are very high. We propose a new strategy, namely the stabilized cycle. This combines and expands upon ideas from the literature for minimizing setup and holding costs in rolling schedules, while controlling actual product‐specific fill rates for a finite reporting period. A computational study with a multi‐item capacitated medium‐term production planning model has been executed in rolling schedules. On the one hand, it demonstrates that the stabilized‐cycle strategy yields a good compromise between costs and downside deviations. Furthermore, the stabilized‐cycle strategy weakly dominates the order‐based strategy for both constant and seasonal demands.     

Budgets for integrating decentralized investment and production planning

Planning for an economic enterprise can be dichotomized into short-run production planning and longer-run investment planning. Usually these problems are treated as if they were separate, if not independent. This paper briefly reviews the separate approaches to optimal production decision making and investment planning, ‘fusing’ these models in order to consider the two issues simultaneously. The resulting ‘fused’ model is used to illustrate several difficulties which result from an intuitive synthesis of the independent solutions of the production problem and the investment problem. An integrated model is presented representing a centralized simultaneous solution for decision variables from the two functional fields. The paper compares and contrasts the synthesis of separate functional models to the decomposition of a simultaneous model of those functional areas. A result of this comparison is a theoretical justification for operating budgets and revenue targets as organizational mechanisms for achieving coordinated plans among decentralized planning units. Further, the set of conditions are identified under which the two approaches to simultaneous decision making are equivalent.     

Computational complexity of algorithms for MRP and JIT production planning problems in enterprise resource planning systems

An enterprise resource planning system (ERP) is the information backbone of many manufacturing companies. At the core of ERP is a conventional material requirements planning (MRP) production planning system or a variation of MRP when just-in-time (JIT) principles are used in manufacturing. MRP and JIT both organize production planning into a hierarchy of long-, medium- and short-range problems. In all there are eight different problems. Some are common to MRP and JIT, others are specialized for a particular system. This paper analyses the computational requirements of these problems. This is important for ERP because it plans for large numbers of products (e.g. 50 000 products at 3M Company and 44 000 products at States Industries in Oregon) at large numbers of locations (e.g. 82 locations in 21 countries for Visteon Automotive Systems of Michigan and 19 locations at Boeing). We show that adequate algorithms exist for some problems, but better algorithms are needed for other problems if ERP is to provide useful production plans.     

Industry modelling

Industry models are used for a variety of purposes including: forecasting markets for strategic planning, providing a basis for directing investments by financial institutions and governments and the development of contingency plans by companies. This paper assesses industry models along two different dimensions, that of the missions fulfilled by the model and that of the problems encountered in the construction of the model: in effect a market and a production orientation respectively. An attempt is made to identify potentially fruitful directions for further developments.     

Tactical production and distribution planning with dependency issues on the production process

Tactical production-distribution planning models have attracted a great deal of attention in the past decades. In these models, production and distribution decisions are considered simultaneously such that the combined plans are more advantageous than the plans resolved in a hierarchical planning process. We consider a two-stage production process, where in the first stage raw materials are transformed into continuous resources that feed the discrete production of end products in the second stage. Moreover, the setup times and costs of resources depend on the sequence in which they are processed in the first stage. The minimum scheduling unit is the product family which consists of products sharing common resources and manufacturing processes. Based on different mathematical modelling approaches to the production in the first stage, we develop a sequence-oriented formulation and a product-oriented formulation, and propose decomposition-based heuristics to solve this problem efficiently. By considering these dependencies arising in practical production processes, our model can be applied to various industrial cases, such as the beverage industry or the steel industry. Computation tests on instances from an industrial application are provided at the end of the paper.     

A production management information model for discrete manufacturing

The Manufacturing Systems Integration (MSI) project at the National Institute of Standards and Technology is developing a system architecture that incorporates an integrated production planning and control environment. The development of this architecture includes the definition of information models describing the information which needs to be shared among production management systems (production planning, scheduling and control systems) in order to achieve the integration of manufacturing systems. This paper presents the production management information model within the MSI project. The main focus of the model is to identify and characterize the relationships between orders and workpieces, to identify the information necessary to achieve workpiece tracking and to identify the information necessary to achieve resource requirements specifications for process plans.