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Article
Publication date: 1 April 2003

Kostas S. Metaxiotis, John E. Psarras and Kostas A. Ergazakis

In the current competitive environment, each company faces a number of challenges: quick response to customers’ demands, high quality of products or services, customers…

Abstract

In the current competitive environment, each company faces a number of challenges: quick response to customers’ demands, high quality of products or services, customers’ satisfaction, reliable delivery dates, high efficiency, and others. As a result, during the last five years many firms have proceeded to the adoption of enterprise resource planning (ERP) solutions. ERP is a packaged software system, which enables the integration of operations, business processes and functions, through common data‐processing and communications protocols. However, the majority, if not all, of these systems do not support the production scheduling process that is of crucial importance in today’s manufacturing and service industries. In this paper, the authors propose a knowledge‐based system for production‐scheduling that could be incorporated as a custom module in an ERP system. This system uses the prevailing conditions in the industrial environment in order to select dynamically and propose the most appropriate scheduling algorithm from a library of many candidate algorithms.

Details

Business Process Management Journal, vol. 9 no. 2
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 1 May 2000

K.S. Metaxiotis and J.‐E. Samouilidis

From the very earliest moments in the modern history of the computer, scientists have dreamed of creating advanced systems which would simulate human meditation and…

Abstract

From the very earliest moments in the modern history of the computer, scientists have dreamed of creating advanced systems which would simulate human meditation and reasoning. Of all the modern technological quests, this research to create artificially intelligent computer systems has been one of the most ambitious and fascinating. Although attempts had been made more than 30 years ago to develop and apply such systems to the medical sciences, the field languished for decades. In this framework, this paper aims to share thoughts and estimations on the important role of expert systems in medicine and address their future as well as the trends that are foreseen in this area.

Details

Information Management & Computer Security, vol. 8 no. 2
Type: Research Article
ISSN: 0968-5227

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Article
Publication date: 3 April 2018

Farhana Ferdousi, Kevin Baird, Rahat Munir and Sophia Su

The purpose of this paper is to examine the association between the extent of adoption of TQM, using Kaynak’s (2003) core TQM practices (quality data and reporting…

Abstract

Purpose

The purpose of this paper is to examine the association between the extent of adoption of TQM, using Kaynak’s (2003) core TQM practices (quality data and reporting, supplier quality management, product/service design, process management) model and competitive advantage. In addition, the study examines the antecedent role of organisational-related factors (intensity of market competition, information technology (IT), expert systems and the supplier evaluation programme) in respect to the extent of adoption of TQM.

Design/methodology/approach

A survey was conducted of 673 business units of garment organisations in a developing country, Bangladesh.

Findings

The findings indicate that the extent of adoption of TQM practices was positively associated with competitive advantage. In addition, two organisational-related factors (intensity of market competition and IT) were positively associated with the extent of adoption of TQM.

Practical implications

The findings provide an insight into the ability of TQM to facilitate competitive advantage in developing countries. Practitioners are also provided with an insight into which organisational factors facilitate the adoption of TQM practices.

Originality/value

The findings provide an important insight into the use and value of TQM practices in developing countries.

Details

Benchmarking: An International Journal, vol. 25 no. 3
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 5 June 2017

Gary D. Holt and Jack S. Goulding

This paper aims to consider an “-ological” (ontological, epistemological and methodological) triad in the context of construction management (CM) research, and to explore…

Abstract

Purpose

This paper aims to consider an “-ological” (ontological, epistemological and methodological) triad in the context of construction management (CM) research, and to explore the triad in terms of ontological/epistemological viewpoints, paradigmatic approaches to CM research and, ultimately, CM methodological decisions.

Design/methodology/approach

Derivation of critical narrative and graphical models using literature synthesis combined with experiential, methodological views of the authors.

Findings

Conceptions of ontology, epistemology and methodology (the “ological-triad”) demonstrate high variability – resultantly, their use in CM research is equally inconsistent, sometimes questionable and, in the extreme, sometimes overlooked. Accordingly, this study concludes that greater recognition of the “ological-triad” is called for in CM research, especially at the design stage. A framework for doing this is proffered.

Originality/value

Combined study of the “ologies” within CM research uniquely consolidates previous disparate knowledge into a single, cogent, subject-specific discourse that, inter-alia, both informs and illuminates CM research challenges. It also encourages critical debate on the issues highlighted.

Details

Journal of Engineering, Design and Technology, vol. 15 no. 03
Type: Research Article
ISSN: 1726-0531

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Article
Publication date: 1 March 2004

Anand S. Kunnathur, P.S. Sundararaghavan and Sriram Sampath

The development of a rule‐based expert system (ES), driven by a discrete event simulation model, that performs dynamic shop scheduling is described. Based on a flowtime…

Abstract

The development of a rule‐based expert system (ES), driven by a discrete event simulation model, that performs dynamic shop scheduling is described. Based on a flowtime prediction heuristic that has been developed and base‐line runs to establish the efficacy of scheduling strategies such as shortest processing time (SPT), critical ratio, total work, etc., a rescheduling‐based dispatching strategy is investigated in a dynamic job shop environment. The results are discussed and analyzed.

Details

Journal of Manufacturing Technology Management, vol. 15 no. 2
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 1 December 2004

Mohan P. Rao and David M. Miller

The purpose of this paper is to describe the process of productivity management and potential expert systems applications at each stage of productivity analysis. Based on…

Abstract

The purpose of this paper is to describe the process of productivity management and potential expert systems applications at each stage of productivity analysis. Based on literature reviews it discusses the strengths and limitations of these technologies. Describes several tasks in the measurement, interpretation and evaluation phases and examines the appropriateness of an expert systems application. Finds that expert systems applications could be useful in interpretation and evaluation. Focuses on productivity analysis at the organizational‐level only. Opines that business managers with limited or no knowledge of productivity models may want to have expert systems applications developed to diagnose problems and take corrective actions in a timely manner. The paper could be useful to business practitioners as well as researchers. Contributions include a detailed description of productivity analysis and how and where expert systems applications could make a difference. Productivity management is critical for long‐term business survival.

Details

Industrial Management & Data Systems, vol. 104 no. 9
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 1 December 2003

K. Nikolopoulos and V. Assimakopoulos

The need effectively to integrate decision making tasks together with knowledge representation and inference procedures has caused recent research efforts towards the…

Abstract

The need effectively to integrate decision making tasks together with knowledge representation and inference procedures has caused recent research efforts towards the integration of decision support systems with knowledge‐based techniques. Explores the potential benefits of such integration in the area of business forecasting. Describes the forecasting process and identifies its main functional elements. Some of these elements provide the requirements for an intelligent forecasting support system. Describes the architecture and the implementation of such a system, the theta intelligent forecasting information system (TIFIS) that that first‐named author had developed during his dissertation. In TIFIS, besides the traditional components of a decision‐support onformation system, four constituents are included that try to model the expertise required. The information system adopts an object‐oriented approach to forecasting and exploits the forecasting engine of the theta model integrated with automated rule based adjustments and judgmental adjustments. Tests the forecasting accuracy of the information system on the M3‐competition monthly data.

Details

Industrial Management & Data Systems, vol. 103 no. 9
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 24 July 2009

Premaratne Samaranayake

The purpose of this paper is to propose an integrated approach to process integration, automation, and optimization through enhanced business process models.

Abstract

Purpose

The purpose of this paper is to propose an integrated approach to process integration, automation, and optimization through enhanced business process models.

Design/methodology/approach

The approach is based on a framework of process integration for functional applications, automation for business workflows, and additional functionalities for process optimization. The proposed approach is illustrated using enhanced process models over business integration, automation, and optimization with data elements, structures, and organizational elements. The standard sales order process cycle, quotation approval process, and production order cycle are chosen for illustrating process integration, automation, and optimization, respectively.

Findings

The proposed approach combines applications and workflows using integrated process/data models and forms a foundation for business process optimization. It is shown that the integrated approach can improve existing business processes in enterprise resource planning (ERP), beyond business process re‐engineering (BPR) principles, once enhanced business process models are implemented. This approach eliminates need for a hierarchical representation of business processes and highlights the flexibility and visibility of business process implementation in ERP system environment.

Research limitations/implications

Although process integration, automation, and optimization are illustrated using selected business process examples, it requires generalization of these enhancements over entire business blueprint of ERP system. Thus, one key limitation of this research is that it is not generalized for the entire business blueprint of ERP. This also requires changes to data structures beyond current relational data in many ERP systems.

Originality/value

This research provides an integrated approach to business process modeling beyond traditional functional and workflow applications by eliminating hierarchical nature of process and data elements.

Details

Business Process Management Journal, vol. 15 no. 4
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 1 October 2004

Peter DeVries, Elizabeth V. Mulig and Kristie Lowery

Decision‐making in executive information systems (EIS) frequently involves scanning complex sets of multidimensional data, which can be difficult with traditional data…

Abstract

Decision‐making in executive information systems (EIS) frequently involves scanning complex sets of multidimensional data, which can be difficult with traditional data portrayal techniques. Therefore, schematic faces may be useful in EIS. Schematic faces can represent up to 20 variables by mapping those variables to the salient facial features so that positive outcomes result in a happier looking face, thus simplifying the data scanning process. The composites of the variables, i.e. the faces, aid management by providing a sophisticated graphical interface between the data and the decision maker. An experiment was conducted to compare decision time and accuracy when basing decisions on tables, bar charts, and schematic faces. The gender and cognitive style of subjects were also considered. MANOVA results indicate that both decision speed and accuracy are better when viewing schematic faces. Cognitive style was also a significant factor in the model.

Details

Industrial Management & Data Systems, vol. 104 no. 8
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 1 April 2005

Daniel J. Bragg, Edward A. Duplaga and Richard J. Penlesky

To investigate the impact of number of components (NC) and component commonality (CC) (i.e. product structure characteristics) on the effectiveness of component…

Abstract

Purpose

To investigate the impact of number of components (NC) and component commonality (CC) (i.e. product structure characteristics) on the effectiveness of component reservation methods and partial order releases (i.e. order review and evaluation (ORE) procedures).

Design/methodology/approach

Simulation experiments were conducted using a multistage production‐inventory system with MRP for planning. The results were analyzed using analysis of variance.

Findings

The results indicate that: in the presence of component availability problems, partial order release is a more effective ORE procedure than component reservation; product structure characteristics should be considered when selecting partial order release proportions; and high levels of shop congestion (SC) mitigate the influence of ORE procedures, regardless of product structure characteristics.

Research limitations/implications

This study used fixed lot sizes and two factors to characterize product structures (NC and CC). Thus, studies that investigate the impact of alternative lot sizing strategies and a wider range of product structure factors could provide additional insight into the order release process.

Practical implications

The results provide a useful source of information for managers to consider when addressing problem orders related to material availability.

Originality/value

Although the literature on order review/release (ORR) recognizes the possibility of material availability problems, very little guidance is provided on how managers should react to the situation. This paper fulfils an identified information need by integrating and extending the research streams on product structure and ORE activities.

Details

Industrial Management & Data Systems, vol. 105 no. 3
Type: Research Article
ISSN: 0263-5577

Keywords

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