Problem structuring in project management: an application of soft systems methodology (SSM)

Recent research suggests a major role for problem structuring methods (PSMs) in the field of project management, particularly at the front-end of projects, where objectives are often unclear and where different constituencies have conflicting aims. This paper presents a case example of soft systems methodology (SSM) at the front-end of a major project within Tesco Stores Ltd. A detailed account of the intervention is given, including the results achieved and a discussion of how the methodology was used for multiple purposes within the same intervention. Within the literature, there remains a lack of detailed examples from which people can learn more about the use of PSMs in project management. By providing a detailed example of SSM in action, this paper seeks to highlight the importance of problem structuring at the front-end of projects and the potential role an approach such as SSM can play at this crucial stage.     

Packing problems and project scheduling models: an integrating perspective

This paper considers two problem classes, namely packing and project scheduling problems that are important to researchers as well as practitioners. The two problem categories are described, and a classification is given for the different kinds of packing problems and project scheduling concepts. While both problem classes are different with respect to their fields of application, similarities of their mathematical structures are examined. It is shown that all packing problems considered here are special cases of models for project scheduling. The aim is to indicate which project scheduling models can be used to capture the different types of packing problems. Finally, some implications for research on optimisation algorithms for these two problem classes are discussed, and the applicability of the results of this work in practice are pointed out.     

Evaluating cost taxonomies for information systems management

The consideration of costs, benefits and risks underpin many Information System (IS) evaluation decisions. Yet, vendors and project-champions alike tend to identify and focus much of their effort on the benefits achievable from the adoption of new technology, as it is often not in the interest of key stakeholders to spend too much time considering the wider cost and risk implications of enterprise-wide technology adoptions. In identifying a void in the literature, the authors of the paper present a critical analysis of IS-cost taxonomies. In doing so, the authors establish that such cost taxonomies tend to be esoteric and difficult to operationalize, as they lack specifics in detail. Therefore, in developing a deeper understanding of IS-related costs, the authors position the need to identify, control and reduce IS-related costs within the information systems evaluation domain, through culminating and then synthesizing the literature into a frame of reference that supports the evaluation of information systems through a deeper understanding of IS-cost taxonomies. The paper then concludes by emphasizing that the total costs associated with IS-adoption can only be determined after having considered the multi-faceted dimensions of information system investments.     

Quality management systems from the perspective of organization of complex systems

The aim of this model is to analyse quality management systems from the standpoint of the organization of complex systems introduced by Robert Rosen. The concept that an organized system, under certain conditions, can be modelled as a living system introduces unsuspected tools to analyse its behaviour. The model is oriented towards the understanding of the implications of modifications introduced in laboratories working with a quality organization following the ISO/IEC 17025 standard.This standard establishes management and technical requirements concerning the documental organization, control of the management and technical records, personnel, equipments, test or calibration methods, etc. The objective of the quality system implementation is to assure the quality of the product, the special consideration being the customer’s satisfaction with all aspects of the service the laboratory offers.The improper use of the quality system tools has an impact on the laboratory activity. The perception of this fact can be negligible at the moment it happens. The model allows us to realize that this alteration always has a negative impact on the customer and it specially affects the continuous improvement that the laboratory must implement.     

企业内公共物品自愿投资行为分析

企业内公共物品的自愿投资活动是在企业“权威”授意和操作下的非盈利团队活动,也是企业文化建设的一个组成部分.本文将此活动视为企业内各经济人之间的博弈,并对此类活动的三种进行方式进行了经济人的行为分析,对模型结果进行了比较.通过比较分析表明,对规模较大,经理与工人收入差异不大的企业,采用经理与工人同时投资的效果最好;而“经理先投资,工人后投资”的活动方式,将最容易实现.     

Optimizing project selection: a perspective from resource constraints

In reality, projects usually consume complex resources. Making good use of the various resources is vital for optimal project selection and maximum profit earning. This paper proposes a new project selection model from the perspective of complex resource constraints. In the model, the resources are divided into non-renewable and renewable categories, and some resources of the two categories can both be shared by different projects. In addition, the paper considers the situation where the company has resources in stock and can purchase them in the marketplace if they are out of stock. The paper proves that the proposed model which considers renewable resource and resource sharing produces higher profit than the ones that do not consider renewable resource and resource sharing. To solve the complex model problem, an improved genetic algorithm is presented. For the sake of illustration, a case study is provided.     

Modelling and information systems for senior management in local government: problems and prospects

The paper considers the role of modelling systems at senior levels in democratically accountable multi-service public sector organisations such as local government.The main basis for the arguments proposed is three years of project work terminating in mid-1977. During this period the writer acted as a consultant to the IBM (UK) Scientific Centre and was responsible for the day-to-day co-ordination of a major project undertaken in the first tier Welsh local authority, Clwyd County Council.The project, which involved substantial resource inputs from both IBM and the local authority, led to definitive conclusions as to the nature and potential value of the modelling system developed.The main purpose of this paper is to consider the extent to which multi-service modelling systems in general are of relevance to local government. The system developed in the Welsh local authority may be described as affording means oriented resource planning facilities. Further it was designed to generate short and medium term (up to five years) information.It is concluded that although at first sight the implementation of an extensive modelling system may seem to involve intervention on a narrow front the reality is that it impinges upon all the main organisational variables. Because of this the prospect for realising the potential of the system will vary considerably from organisation to organisation. It is important that this should be appreciated by senior management before they approve the commitment of resources to developments of this nature.     

A critique of statistical modelling in management science from a critical realist perspective: its role within multimethodology

Management science was historically dominated by an empiricist philosophy that saw quantitative modelling and statistical analysis as the only legitimate research method. More recently interpretive or constructivist philosophies have also developed employing a range of non-quantitative methods. This has sometimes led to divisive debates. ‘Critical realism’ has been proposed as a philosophy of science that can potentially provide a synthesis in recognizing both the value and limitations of these approaches. This paper explores the critical realist critique of quantitative modelling, as exemplified by multivariate statistics, and argues that its grounds must be re-conceptualized within a multimethodological framework.     

Multi-echelon systems: A service measure perspective

This paper reviews the most important results on divergent multi-echelon systems. In particular, we concentrate on the interactions between the elements that constitute such a multi-echelon system, in order to determine several service measures (e.g. external customer service level and inventory holding costs). We distinguish between two types of policies: installation stock and echelon stock policies. A comparison between these two types of policies revealed that the complexity of the analysis is concentrated at different aspects, which are discussed by reveiwing the most important papers on both types. Special attention is given to the applicability of the models. Extensions to divergent multi-echelon systems with more than two stages are also treated.     

Exploring the role of supplier relationship management for sustainable operations: an OR perspective

This paper provides a systems-based approach to the exploration of the relationship and integration between Supplier Relationship Management (SRM) factors as part of a Sustainable Operations Management (SOM) agenda. The authors have chosen electronic procurement (e-Procurement) as a suitable context in this light. Through a review of extant literature, a Systems Archetype (SA) model was developed (based on the ‘Accidental Adversaries’ archetype) and findings from a quantitative pilot study exploring key factors pertinent to e-Procurement SRM were gathered, and hence evaluated against SOM factors. The objective of this research was to describe and visualise the causal interrelationships involved in SRM-SOM through the application of a SA (as an Operations Research tool). The authors believe that this research also provides a unique approach to developing and harnessing the useful and unique properties of Systems Thinking (ST), by attempting to reduce and organise the (generally ad hoc and wide-ranging) sequence of subjective perspectives commonly experienced in causal mapping experiments. The paper builds upon the extant literature, and provides further basis for continuing research in the areas of ST, SAs and the application of operational research to plan sustainable operations.     

Constructively simple estimating: a project management example

A ‘constructively simple’ approach to estimating uses a decision support modelling paradigm based on project risk management and operational research concepts. It employs probability models selected from a set of alternative stochastic models of uncertainty with a view to maximising the insight provided, given an appropriate level of complexity. It addresses issues that include the joint use of subjective and objective probabilities, subjectivity of model data and structure, bias, data acquisition costs, the importance of getting an estimate right, optimising the estimating processes involved as a whole in approximate but robust terms, and differences in interpretation of what this means to estimators and users of estimates. Specific applications are necessarily context-specific to some extent, but the underlying ideas are of general applicability. This paper uses a simple example involving estimating the uncertain duration of a project activity to illustrate what is involved.     

Developing scheduling systems for Daewoo Shipbuilding: DAS project

Daewoo Shipbuilding Company, one of the largest shipbuilders in the world, had difficulties with planning and scheduling its production process. To solve the problems, Korea Advanced Institute of Science and Technology (KAIST) and Daewoo have been jointly performing the DAS (DAewoo Shipbuilding Scheduling) Project for three years, from 1991 to 1993. To develop the integrated scheduling systems, several technological breakthroughs were necessary such as hierarchical architecture between systems, constraint directed graph search, spatial scheduling, dynamic assembly line scheduling, and neural network based man-hours estimation. Besides these technological research issues, we adopted the phased development strategy, which consists of three phases of vision revelation, data dependent realization, and prospective enhancement. The DAS systems were successfully launched in January 1994 and are being actively used as indispensable systems in the shipyard resulting in a significant improvement in productivity and reengineering of the scheduling process.     

A complex adaptive systems perspective of innovation diffusion: an integrated theory and validated virtual laboratory

In this paper we integrate the rich yet fragmented insights from the extensive literature on the diffusion of innovation into an elegant, coherent model. Using complex adaptive systems theory as the overarching framework, we integrate prior literature around three constructs: agents, interactions, and an environment. The integrated model is presented in both natural language and as an agent-based simulation model. A series of validation experiments instill confidence that our agent-based model (and similar others) can be used as a virtual research laboratory. We provide theoretical and methodological directions for future research.     

Problem-structuring methods and project management: an example of stakeholder involvement using Hierarchical Process Modelling methodology

Project Management has gained in importance over the last few decades and it isincreasingly common in many types of organisations. Today there is a concernover the relevance of the more conventional project management approaches toproblems that are increasingly complex and constrained and involve large numbersof interested parties or stakeholders. This paper examines the relevance ofproblem-structuring methods to project management, focusing on the front-end ofmanaging complex projects and discusses stakeholder involvement usingHierarchical Process Modelling methodology.     

Challenges in data science: a complex systems perspective

The ability to process and manage large data volumes has been proven to be not enough to tackle the current challenges presented by “Big Data”. Deep insight is required for understanding interactions among connected systems, space- and time- dependent heterogeneous data structures. Emergence of global properties from locally interacting data entities and clustering phenomena demand suitable approaches and methodologies recently developed in the foundational area of Data Science by taking a Complex Systems standpoint. Here, we deal with challenges that can be summarized by the question: “What can Complex Systems Science contribute to Big Data? ”. Such question can be reversed and brought to a superior level of abstraction by asking “What Knowledge can be drawn from Big Data?” These aspects constitute the main motivation behind this article to introduce a volume containing a collection of papers presenting interdisciplinary advances in the Big Data area by methodologies and approaches typical of the Complex Systems Science, Nonlinear Systems Science and Statistical Physics.     

The effects of top management team composition on SME export performance: an upper echelons perspective

Survival of small and medium-sized enterprises (SMEs) increasingly depends on their ability to exploit opportunities in foreign markets. Given their limited resources, exporting is one of the most viable modes of entry into foreign markets for SMEs. The present study is an attempt to contribute to the research that identifies the factors associated with SME export performance. Specifically, the association between top management team demographic composition and SME export performance was examined in an emerging market context and drawing from upper echelons perspective. Focusing on such commonly examined upper echelons attributes as age, education level, and tenure, the present research assessed whether top management team composition distinguished between SMEs in terms of their export levels. Data were collected from 128 SMEs operating in Ankara and Bursa regions of Turkey. Results obtained by a hierarchical regression analysis indicated that SMEs with lower mean industry tenure and higher age separation diversity had higher levels of export performance.