An Empirical Test of the Strategic-Grid Model of Information Systems Planning*

Contingency models of information systems planning predict that no single planning approach will suit all organizations' needs. Little empirical research has been undertaken, however, to evaluate this prediction. Accordingly, we used McFarlan, McKenney, and Pyburn's (1983) strategic-grid model to study the information systems planning problems encountered by 49 governmental agencies. Twenty-seven agencies were required to follow a planning approach best suited to organizations that had a high level of dependence on both their existing and proposed systems. We predicted that agencies not having these characteristics would encounter the most problems with the approach. The remaining 22 agencies could choose their own planning approach. We studied this latter group to determine whether the problems encountered by the first group could be attributed to the mandated approach. Overall, the empirical results obtained were equivocal. Some results indicated that more planning problems were encountered by agencies in which the mandated approach was not appropriate to their position in the strategic grid. Other results were not supportive of this proposition. More work needs to be undertaken, therefore, to evaluate the predictive and explanatory power of contingency models of information systems planning. In addition, our research indicates a need to develop more rigorous theories of information systems planning behaviors, to improve the instruments needed to measure these behaviors, to explore the relationship between information systems planning behaviours and organizational effectiveness, to investigate how organizational learning impacts planning behaviors, and to determine the types of information systems planning problems that diffuse through organizations and those that remain localized.     

Operational research in Indian defence

The paper gives an outline of the areas of Operational Research (OR) where work in the Defence Department in India has been successful, even though it has not been fully implemented due to certain reservations on the part of the users and some limitations of OR scientists. There is an ad hoc quality in the decision making of the customer, and no large scale OR models are available which give a total effect of defence spending on social measures and human resources development. OR would be able to contribute to a balanced spending on defence in developing countries, if effort were made to analyse defence problems in the wider context. The author was formerly Director of Scientific Evaluation, Ministry of Defence, India.     

Industrial relations problems—OR's contribution

This paper considers the contribution which OR (Operational Research) can make to solving some of the problems in the industrial relations field. It first discusses the characteristics of industrial relations problems, categorising them according to the degree of conflict involved. The kinds of contribution OR can make are then discussed, first in a general way and then for each category in turn. The paper draws particular attention to the need for OR work in much of the industrial relations field to take account of the existence of conflict and of the game-like nature of the negotiating process. Some of the problems this presents to the OR worker are mentioned. Directions for future developments in the field are proposed. Finally there is a brief discussion about whether the issues raised in the paper are relevant to OR's contribution in fields other than industrial relations.     

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.     

Town planning in Sweden: National officials versus local politicians

With strong central government traditions, Sweden has developed goal-oriented normative planning. At urban level, such planning raises many problems. This article discusses some of these problems from the three principal aspects of planning, namely the ideological, methodological and organizational aspect. The study is based on an extensive questionnaire and oral interviews among municipal planners in leadership positions in three middle-sized municipalities, namely Borås, Umeå and Västerås. The ideological aspect is discussed with reference to restrictions on urban planning arising as a result of decisions made by private enterprises and due to the interaction between the central and municipal government. The article goes on to describe the methods planners have developed to plan for land-use, resource allocation, housing and other sectoral activities and major defects in the planning system. Finally, the article discusses various problems faced by the municipal government whose departmental organization facilitates the administration of community services but cannot adequately deal with the increasing number of planning functions which are often interdepartmental in nature.     

Soft OR comes of age—but not everywhere!

Over the last forty years, new methods and methodologies have been developed to deal with wicked problems or “messes”. They are structured and rigorous but non-mathematical. Prime examples are: soft systems methodology (SSM), cognitive mapping/SODA and the strategic choice approach (SCA). Collectively they are known as Soft OR, Soft Systems, or Problem Structuring Methods (PSMs). Soft OR has now come of age in terms of both dealing with complex practical situations and having a presence in the academic literature. However, Soft OR is not recognized, or even seen as a legitimate part of an OR, everywhere and this is especially so in the US, where top journals such as Operations Research and Management Science do not publish Soft OR papers. The purpose of this paper is to generate an informed discussion and debate, which may lead to a greater recognition of the contribution of Soft OR, and to it being seen to be a proper part of the OR discipline worldwide. In order to achieve this, the first section outlines the nature of Soft OR and describes briefly some of the main methods. The second section demonstrates that Soft OR has been successful both in practice and within the academic literature. The third section documents the invisibility of Soft OR within important sections of the OR literature, and the final section then suggests some explanations for this, and also proposes practical actions to try and alleviate the problem. It is not suggested that Soft OR is an alternative to traditional, mathematical OR but, rather, a complement.     

A Novel Eigenvector Technique for Large Scale Combinatorial Problems in VLSI Layout

Modern integrated circuit design involves laying out circuits which consist of millions of switching elements or transistors. Due to the sheer complexity, optimizing the connectivity between transistors is a very difficult problem. How a circuit is interconnected is the single most important factor in performance criteria such as signal delay, power dissipation, circuit size and cost. These factors dictate that interconnections—wires, be made as short as possible. The wire–minimization problem is formulated as a sequence of discrete optimization subproblems. These problems are known to be NP-hard, hence they can only be solved approximately using meta-heuristics or linear programming techniques. Nevertheless, these methods are computationally expensive and the quality of solution depends to a great extent on an appropriate choice of starting configuration. A matrix reordering technique for solving very hard discrete optimization problems in Very Large Scale Integrated (VLSI) design which overcomes some of these shortcomings is proposed. In particular, the computational cost is reasonable—of the order of n ^1.4 running time.     

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).     

多品种集约生产计划问题的模糊方法

提出具有模糊需求量和模糊能力约束以及资本水平约束的多品种类集约生产计划问题 的模糊优化模型及模糊解方法. 通过对模糊需求量和模糊等式的描述,提出了模糊需求环境下 生产- 库存平衡方程的两种等价的描述方法, 并给出了模糊等式的实用解释. 建立了具有模 糊需求量和模糊能力约束集约生产计划问题的优化模型FMAPP ,并给出了求解模型的参数规 划方法.     

Joint supplier selection and scheduling of customer orders under disruption risks: Single vs. dual sourcing

This paper presents a stochastic mixed integer programming approach to integrated supplier selection and customer order scheduling in the presence of supply chain disruption risks, for a single or dual sourcing strategy. The suppliers are assumed to be located in two different geographical regions: in the producer's region (domestic suppliers) and outside the producer's region (foreign suppliers). The supplies are subject to independent random local disruptions that are uniquely associated with a particular supplier and to random semi-global (regional) disruptions that may result in disruption of all suppliers in the same geographical region simultaneously. The domestic suppliers are relatively reliable but more expensive, while the foreign suppliers offer competitive prices, however material flows from these suppliers are more exposed to unexpected disruptions. Given a set of customer orders for products, the decision maker needs to decide which single supplier or which two different suppliers, one from each region, to select for purchasing parts required to complete the customer orders and how to schedule the orders over the planning horizon, to mitigate the impact of disruption risks. The problem objective is either to minimize total cost or to maximize customer service level. The obtained combinatorial stochastic optimization problem will be formulated as a mixed integer program with conditional value-at-risk as a risk measure. The risk-neutral and risk-averse solutions that optimize, respectively average and worst-case performance of a supply chain are compared for a single and dual sourcing strategy and for the two different objective functions. Numerical examples and computational results are presented and some managerial insights on the choice between the two sourcing strategies are reported.     

Spatial Planning in Ghana: Exploring the Contradictions

The purpose of this research is twofold: to explore the complexity of spatial plan preparation and implementation in Ghana using Kumasi as a case study; and second, to examine the contradictions of spatial plans and ‘actual development’ occurring in Kumasi. Using social science research methods (semi-structured interviews) and physical survey (land use plans), findings indicate that spatial planning in Kumasi is a bureaucratic process hijacked by urban planning agencies with limited involvement of urban residents. As a result, urban development is considerably influenced by spontaneous informal development patterns (i.e. self-organization). This phenomenon of self-organization is expressed in a context of uncertainty created by weak spatial planning system which encourages haphazard development. Regrettably, in Kumasi, self-organization is often overlooked by spatial planning agencies as they focused on rigid and exclusionary spatial plans. This paper advocates consideration and integration of self-organization processes in spatial planning efforts to respond adequately to the urban development challenges confronting Kumasi.     

Industrial applications of cross-impact analysis

The implicit or explicit ceteris paribus assumption usually made in the planning of economic systems (e.g. industries) is acceptable and accepted during periods of regular economic development; in this context, sensitivity analysis around the central projection is often used in order to measure effective elasticities to unexpected small perturbations of the system.In periods of structural change, unpredictable major events greatly reduce the value of any trend projection, and the ceteris paribus assumption has to be replaced by ‘scenarios’ of the future environment.The causal structure which generates these events is unknown; in such a situation, it seems reasonable to rely upon ‘opinions’ in order to assess the a priori probabilities of these events. Cross-impact analysis is one of the methods developed in order to improve human probability judgments of single and pairs of events and in order to deal explicitly with higher order interactions; in particular, cross-impact allows for the computation of the most probable combination of the events considered, or ‘most probable scenario’. In the industrial planning process, this ‘most probable scenario’ can be used as the set of exogeneous conditions for the central projection.     

Problem Formulation and Solution Mechanisms: A Behavioral Study of Humanitarian Transportation Planning

When dealing with urgent, ill‐defined problems, such as rapidly evolving emergency situations, operations managers have little time for problem formulation or solution. While the mechanisms by which humans formulate and solve problems have been described, mechanisms for rapid, concurrent formulating and solving are not well understood. This study investigates these mechanisms through a field study of transportation planning in a humanitarian response setting. The findings show that the problem is solved through greedy search and formulated through sensemaking, in which search enables updates to an evolving problem formulation, and the formulation directs and limits the search process. This study explores the implications of these findings for the development of better problem formulation processes and problem‐solving strategies for urgent and ill‐defined operations management problems.     

Planning without vision— Roots of the urban disaster

Urban planning, especially in the United States, arose in reaction to the forces of industrialization. Yet urban development remained subordinate to the deeper powers of the rising technological order and failed to find an independent inspiration, ideal, or initiative by which cities could integrate the bewildering social changes. A kind of self-defeat is proclaimed in the very language of planning. How did this happen? Even to begin to perceive the causes, it is necessary to search in the history, philosophy, and customs of the society within which urban planning emerged.     

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.     

Learning from mixed OR method practice: The NINES case study

Despite continued interest in the use of mixed OR/MS methods, limited attention has been paid in the literature to generic lessons that could be gained from mixing methods in practice. Many organisational problems demand the use of a mixed method approach and thus recognising and sharing lessons could prove beneficial to both practitioners and researchers. This paper reports on an in-depth evaluation of a case study involving risk identification and quantification of the Northern Isles New Energy Solutions (NINES) project which sought to trial and plan a new energy system. The intervention involved a mixed method approach and client feedback on the efficacy of the approach was sought. The evaluation reported in this paper is carried out using a set of themes taken from the literature and seeks to highlight transferable lessons. The set of lessons that emerge are presented along with their implications for both general OR modelling practice and the specific situation of mixing OR/MS methods. The paper concludes by discussing the implications of the work and directions for future work which will be of interest to both practitioners and researchers interested in mixed method OR/MS work.     

Distributed Decision‐Making in Supply Chains and Private E‐Marketplaces

This paper develops a distributed decision‐making framework for the players in a supply chain or a private e‐marketplace to collaboratively arrive at a global Pareto‐optimal solution. In this model, no player has complete knowledge about all the costs and constraints of the other players. The decision‐making framework employs an iterative procedure, based on the Integer L‐shaped method, in which a master problem is solved to propose global solutions, and each player uses his local problems to construct feasibility and optimality cuts on the master problem. The master problem is modeled as a mixed‐integer program, and the players' local problems are formulated as linear programs. Collaborative planning scenarios in private e‐marketplaces and in supply chains were formulated and solved for test data. The results show that this distributed model is able to achieve near‐optimal solutions considerably faster than the traditional centralized approach.     

Cross-benchmarking for performance evaluation: Looking across best practices of different peer groups using DEA

In benchmarking, organizations look outward to examine others’ performance in their industry or sector. Often, they can learn from the best practices of some of them and improve. In order to develop this idea within the framework of Data Envelopment Analysis (DEA), this paper extends the common benchmarking framework proposed in Ruiz and Sirvent (2016) to an approach based on the benchmarking of decision making units (DMUs) against several reference sets. We refer to this approach as cross-benchmarking. First, we design a procedure aimed at making a selection of reference sets (as defined in DEA), which establish the common framework for the benchmarking. Next, benchmarking models are formulated which allow us to set the closest targets relative to the reference sets selected. The availability of a wider spectrum of targets may offer managers the possibility of choosing among alternative ways for improvements, taking into account what can be learned from the best practices of different peer groups. Thus, cross-benchmarking is a flexible tool that can support a process of future planning while considering different managerial implications.     

Education: MRP/GT: A FRAMEWORK FOR PRODUCTION PLANNING AND CONTROL OF CELLULAR MANUFACTURING

American industry typically uses material requirements planning (MRP) for manufacturing control. This paper presents production planning and control procedures based on group technology (GT), which is used in British manufacturing. A translation between these ideas and the American approach is made, and it is suggested that a combination of MRP and GT is viable. The problems that arise, especially in the areas of lot-sizing and sequencing/scheduling, and their possible solutions are discussed. Since increased adoption of GT is expected within the next decade, an intensified research effort is warranted in these and other areas so that existing MRP systems can be modified or extended to handle cellular manufacturing control problems. Subject Areas: Material Requirements Planning and Production/Operations Management.     

Why Do Neighbors Have Different Environmental Priorities? Analysis of Environmental Risk Perception in a Beirut Neighborhood

Differences in environmental priorities within an urban neighborhood of Beirut are analyzed. The explanatory capabilities of five categories of contextual variables are compared: socioeconomic status, locality, health, behavior, and environmental beliefs. Semi-structured interviews with key individuals in the community and residents were first conducted. Four environmental issues of concern were identified. A survey was carried out to identify the relative priority accorded by respondents to these four issues, and to measure variables likely to explain differences of opinion. Bivariate and multivariate logistic regression analyses were conducted for each of the four problems. The 99% confidence interval (CI) of the odds ratio (OR) was used as a test of significance. Respondents suffering from a respiratory disease (OR = 6.94, 99%CI = 1.54-31.25), those living in less crowded houses (OR = 4.88, 99%CI = 1.38-17.24), and those not living close to the neighborhood's industrial street (OR=5.26, 99%CI = 1.01-27.78) are significantly more likely to rank poor air quality first. Significant associations are found between poor water quality as first priority and nonpresence of a smoker in the household (OR = 6.12, 99%CI = 1.84-20.32) and perception of water salinity as a problem (OR = 7.46, 99%CI = 1.50-37.03). Males (OR = 6.94, 99%CI = 1.02-47.62) and tenants versus owners (OR = 10.49, 99%CI = 1.36-80.61) are significantly more likely to rank the residential-industrial mix first. Socioeconomic variables retain their explanatory capability in the studied neighborhood, despite relatively small income disparities. Behavioral variables, such as smoking, may be causative factors of priorities. Analyzing relative priorities, rather than "concern" or lack of it, reveals more complex patterns of association. Identifying environmental-perception divide lines can help develop a more inclusive and effective participatory environmental management.