Product design-Process selection-Process planning Integration based on Modelling and Simulation

As a solution for traditional design process having many drawbacks in the manufacturing process, the integration of Product design-Process selection-Process planning is carried out in the early design phase. The technological, economic, and logistic parameters are taken into account simultaneously as well as manufacturing constraints being integrated into the product design. As a consequence, the most feasible alternative with regard to the product’s detailed design is extracted satisfying the product’s functional requirements. Subsequently, a couple of conceptual process plans are proposed relied on manufacturing processes being preliminarily selected in the conceptual design phase. Virtual manufacturing is employed under CAM software to simulate fabrication process of the potential process plans. Ultimately, the most suitable process plan for fabricating the part is recommended based upon a multi-criteria analysis as a resolution for decision making

Adoption of Open Source and conventional ERP solutions for small and medium enterprises in manufacturing

Many studies on the Enterprise Resource Planning (ERP) market have indicated that very few ERPs have succeeded to fully meet the expectations of an organisation in particularly the Small and Medium Enterprises (SMEs). This is usually due to commercial reasons, because most of the ERP systems are primarily designed and developed for large corporations which is not suitable for simplified and rapidly changing SMEs. With the arrival of licence free open source ERPs and at an affordable price, the problem of capital shortage in SMEs is partially resolved while flexibility remains a problem. In order to solve the flexibility issue, this paper presents methods of (a) an industrial survey and (b) a multistage initiation model to compare open source ERPs and the advantages of conventional ERP’s modular structure to propose an alternative ERP platform. The finding concludes that this alternative platform is feasible to be developed by users as well as flexible enough for growing SMEs in manufacturing

Multi crteria decision making and its applications : a literature review

This paper presents current techniques used in Multi Criteria Decision Making (MCDM) and their applications. Two basic approaches for MCDM, namely Artificial Intelligence MCDM (AIMCDM) and Classical MCDM (CMCDM) are discussed and investigated. Recent articles from international journals related to MCDM are collected and analyzed to find which approach is more common than the other in MCDM. Also, which area these techniques are applied to. Those articles are appearing in journals for the year 2008 only. This paper provides evidence that currently, both AIMCDM and CMCDM are equally common in MCDM

Extending the IS-Impact model into the higher education sector

The study addresses known limitations of what may be the most important dependent variable in Information Systems (IS) research; IS-Success or IS-Impact. The study is expected to force a deeper understanding of the broad notions of IS success and impact. The aims of the research are to: (1) enhance the robustness and minimize limitations of the IS-Impact model, and (2) introduce and operationalise a more rigorously validated IS Impact measurement model to Universities, as a reliable model for evaluating different Administrative Systems. In extending and further generalizing the IS-Impact model, the study will address contemporary validation issues

Management decision making by the analytic hierarchy process: A proposed modification for large-scale problems

Frequently, management decision making problems involve multiple criteria/objectives/attributes. Over the years, many quantitative methods have been developed to facilitate making rational decisions involving multiple criteria. The Analytic Hierarchy Process (AHP) is, in general, regarded as one of the most successful techniques to solve decision making problems involving multiple criteria. In AHP, the decision maker starts by constructing the overall hierarchy of the decision problem. The hierarchy consists of criteria, subcriteria and alternatives of the decision making problem. A number of pairwise comparison matrices are formed in order to derive weights of the criteria and the local weights of the alternatives. Subsequently, the principle of hierarchical composition is used to determine the global weights of the alternatives. The alternative with the highest global weight is selected as the best alternative. The drawback of the traditional AHP is that it requires a large number of pairwaise comparisons, especially in the presence of a large number of criteria. The present empirical study attempts to investigate the possibility of eliminating insignificant criteria in order to reduce AHP computational time. Using the Expert Choice software, findings confirm that criteria that carry comparatively lesser weights can be excluded from the hierarchy and thereby the total time required for making the pairwise comparisons can be reduced drastically. To solve large-scale enterprise multi-criteria decision making problems (that involve large number of criteria) by AHP, it is proposed that at the very outset, decision makers can apply nominal group technique to identify the insignificant criteria. These criteria can be dropped from subsequent analysis and this exclusion will not affect the final decision significantly. This proposed methodology is expected to enhance the applicability of AHP in solving various kinds of larger sized multi-criteria decision making problems in any enterprise.Multiple criteria decision making, Analytic hierarchy process, Nominal group technique, Large-scale problems, International business

Recruitment and selection processes through an effective GDSS

[[abstract]]This study proposes a group decision support system (GDSS), with multiple criteria to assist in recruitment and selection (R&S) processes of human resources. A two-phase decision-making procedure is first suggested; various techniques involving multiple criteria and group participation are then defined corresponding to each step in the procedure. A wide scope of personnel characteristics is evaluated, and the concept of consensus is enhanced. The procedure recommended herein is expected to be more effective than traditional approaches. In addition, the procedure is implemented on a network-based PC system with web interfaces to support the R&S activities. In the final stage, key personnel at a human resources department of a chemical company in southern Taiwan authenticated the feasibility of the illustrated example.[[notice]]補正完畢[[journaltype]]國內[[incitationindex]]SCI[[incitationindex]]E

Knowledge prioritisation for ERP implementation success Perspectives of clients & implementation partners in UK industries

Purpose - Knowledge management is crucial for enterprise resource planning (ERP) systems implementation in real industrial environments, but this is a highly demanding task. The purpose of this paper is to examine the effectiveness of knowledge identification, categorisation and prioritisation that contributes to achieving ERP implementation success. Design/methodology/approach - This study adopts a mixed methods approach; a qualitative phase to identify and categorise knowledge types and sub-Types; conducting in-depth interviews with ERP clients and implementation partners; plus a quantitative phase to prioritise knowledge types and sub-Types based on their contribution to achieving ERP success for business performance improvement. An analytic hierarchy process-based questionnaire was used to collect empirical data for the quantitative phase. Findings - This study has been able to identify, categorise and rank various types of ERP-related knowledge based on in-depth interviews and survey responses from both ERP clients and implementation partners. In total, 4 knowledge types and 21 sub-Types were ranked based on their contribution to achieving ERP success; 4 variables of information quality, systems quality, individual impact and organisational impact were used to measure ERP success. Originality/value - The empirical findings demonstrate exactly what kinds of knowledge need to be managed, enabling knowledge prioritisation when a client organisation or an implementation partner steps into an ERP implementation, in a real industrial environment

Comparison of ERP’s Software Qualities in Airlines Industries Using Delone Model by AHP Method

Software system qualities at Enterprise Resource Planning (ERP) play an important role in the business sector. The aim of this study is to determine if airline companies are successfull in application of ERT. Here likert scales are utilized and analyzed by means of the Analytic Hierarchy Process (AHP). Accordingly, two regardable airline companies in Turkey with 60 workers from pre and up positions are participated in the questionnary process of this research. According to the comparison results, strong and weak aspects of theses companies based on their different software systems are found to be as preferenced priorities in aviation sector competition

ERP Software Selection Strategy Using Analytic Hierarchy Process (AHP) Case Study: PT Gramedia Printing

Enterprise Resource Planning (ERP) is an integrated information system technology used by world-class manufacturers to improve company performance. According to the policy determined by Kompas Gramedia, in all business sectors, the strategy must implement ERP. Printing PT Gramedia plans to implement ERP. The ERP that will be implemented in the printing company has not yet decided which ERP to use. Persian Malan. The choice of ERP in PT Gramedia printing is the object of research. The research was conducted by applying quantitative research methods, using raw data and auxiliary data as samples. The test results and analysis are expected to provide guidelines for PT Gramedia's print management to choose the correct implementation of ERP, so as to realize the vision to be realize