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

Menadžment poslovnih procesa i znanja u hrvatskim poduzećima

Contemporary companies function in constantly changing and highly turbulent business environment which is the cause of a constant need for change and learning at individual, group, organizational as well as interorganizational level (61). Organizational learning is considered to be one of the most promising concepts in modern managerial literature. According to de Geus ‘ability to learn faster than your competitors might be the only sustainable competitive advantage you have’ (11). Dimovski (12) provides an overview of previous research and identifies four perspectives on organizational learning. His model manages to merge informational, interpretational, strategic and behavioral approach to organizational learning and defines it as a process of information acquisition, information interpretation and resulting behavioral and cognitive changes, which should in turn have an impact on organizational performance. In recent research, another measurement variable for organizational learning emerged – Information quality (18). Another research topic introduced in this research was determination and evaluation of the business process orientation construct. Although definitions of the business process orientation vary, we adopt the McCormack’s and Johnson’s (2001) definition of process orientation: An organization that, in all its thinking, emphasizes process as opposed to hierarchies with a special emphasis on outcomes and customer satisfaction. McCormack and Johnson (2001) conducted an empirical study to explore the relationship between BPO and enhanced business performance. The research results showed that BPO is critical in reducing conflict and encouraging greater connectedness within an organization, while improving business performance. The more business process oriented an organization, the better it performs both from an overall perspective as well as from the perspective of the employees. The BPO construct describes a four-step pathway for systematically advancing business processes along the maturity continuum (Ad Hoc, Defined, Linked, and Integrated level). Each step builds on the work of the previous steps to apply improvement strategies that are appropriate to the current maturity level. It is important to note that trying to skip maturity levels is counter-productive, since each level builds a foundation from which to achieve the subsequent level. An organization must evolve through these levels to establish a culture of process excellence. The goal of our contribution was to test differences in the way companies learn and perceive their business process orientation in Slovenia and Croatia. During September and October 2005 questionnaires were distributed to Slovenian and Croatian companies with more than 50 employees. In Slovenian case, 203 completed questionnaires were returned (which accounts for 16.5% response rate) while in Croatia 202 completed questionnaires were returned to the research group (which accounts for 11.5% response rate). Received questionnaires from both countries allow us to compare the results and to implicitly test the impact of various country-based factors on the organizational learning phenomena. Using data gathered from two independent samples (Slovenia and Croatia) analysis of variance method and t-test were used in order to get the answer to our research question relating to differences in organizational learning and business process orientation between Slovenian and Croatian companies. Results indicate that Slovenian and Croatian companies differ only in 17 out of 48 items considering organizational learning research – especially in the way they acquire information and the way they perceive behavioral and cognitive changes currently under place. Croatian companies are more outward directed when acquiring information and are witnessing more turbulent changes in their internal as well as external business environment. Nevertheless, there are much more similar traits in the way Slovenian and Croatian companies learn than there are dissimilarities. However, there are some indications that Slovenian companies already bridged the transition period, while majority of Croatian companies still has to cross that bridge. Data analysis considering second part of the research revealed some important aspects of business process orientation in Slovenia and Croatia. It showed that Slovenian companies have reached slightly higher maturity level than Croatian companies, which was not surprising considering Croatian contemporary history. Though statistically significant, the difference is not large and the general state of the BPO in both countries is promising. Still, a lot is left to change and improve in order to transform the companies into process-oriented ones. The investigation also revealed some differences between both counties. Slovenian companies give more emphasis to the quality of process data and have monitoring and control systems in place to assure it. Besides that jobs are more frequently multidimensional and not just simple tasks in Slovenia then in Croatia. This is important aspect of process orientation whereby employees need to be equipped with wide arsenal of knowledge and skills in order to participate in different areas of a process. To realize BPO projects, most companies use different business process modelling/management methods and tools, which integrate components for static and dynamic modelling, measuring and monitoring the performance of the processes, as well as enabling the transformation of business process diagrams into tailor-made applications supporting the execution of workflows. The focus of this paper is to discuss the application of business process oriented concepts in different areas, depending on different projects' objectives and goals. The paper provides the results of a search in literature as well as a summary and comparison of features concerning business process modelling and business process management tools, placing them within an empirically derived framework.menadžment poslovnih procesa, menadžment znanja

A review of methodologies to assess urban freight initiatives

Only few urban freight initiatives are expanding their scale of application beyond the initial pilot experimentation. To overcome existing barriers to larger scale optimization of urban freight distribution activities, it is necessary to develop and test proper methodologies that assess all aspects relevant to this context. In this paper we propose a classification of existing assessment methodologies, in order to underline their advantages and disadvantages, along with possible research gaps and future trends. For this review we adopt a framework constructed on two dimensions of an assessment methodology, namely method used and scope. As for the method used, methodologies can be either quantitative, if they aim at simulating or evaluating the outcomes in terms of vehicle flows, pollutant emissions, or monetary outcomes, or qualitative, if they are directed towards elucidating the subjective assessment of stakeholders. Concerning the scope, existing methodologies can cover three main aspects of urban freight distribution systems, such as measures to be assessed, stakeholders and impact areas

A quality management based on the Quality Model life cycle

Managing quality is a hard and expensive task that involves the execution and control of processes and techniques. For a good quality management, it is important to know the current state and the objective to be achieved. It is essential to take into account with a Quality Model that specifies the purposes of managing quality. QuEF (Quality Evaluation Framework) is a framework to manage quality in MDWE (Model-driven Web Engineering). This paper suggests managing quality but pointing out the Quality Model life cycle. The purpose is to converge toward a quality continuous improvement by means of reducing effort and time.Ministerio de Ciencia e Innovación TIN2010-20057-C03-02Ministerio de Ciencia e Innovación TIN 2010-12312-EJunta de Andalucía TIC-578

Supply Chain Management and Management Science: A Successful Marriage

The last century has witnessed extant studies on the applications of Management Science (MS) to a diverse set of Supply Chain Management (SCM) issues. This paper provides an overview of the contribution of MS within SCM. A framework is developed in this paper with a sampling of MS contributions to major SCM dimensions. Future research directions are presented

The Integration of Process Simulation Within the Business Architecture

To deal with increased competition and technological change, organizations need to strive for a continuous improvement of their business processes. To realize this, simulation models offer a suitable approach to test different process alternatives. In particular, discrete-event simulation employs stochastic models to support operational decision-making inside the organization. However, this operational focus might cause sub-optimization with respect to higher-level organizational goals. Therefore, an integrative view on the business architecture might align strategic, organizational and process perspectives. This has resulted in the expansion of the Process-Goal Alignmentmodeling technique with a simulation mechanism. This paper augments the previous research efforts by including simulation results expressed by confidence intervals, such that the results of process simulations can be accurately integrated with the overall business performance. The design of the business architecture simulation technique is guided by the Design Science Research methodology. This paper communicates about both the design and the demonstration of the simulation technique, while the evaluation of this artifact is subject to future research

A simulation based supply partner selection decision support tool for service provision in Dell.

Partner selection is an important aspect of all outsourcing processes. Traditional partner selection, typically involves steps to determine the criteria for outsourcing, followed by a qualification of potential suppliers and concluding with a final selection of partner(s). Reverse auctions (RAs) have widely been used for partner selection in recent times. However, RAs, although proven successful in initial price reduction strategies for product and service provision, can suffer from reduced effectiveness as the number of executions increases. This paper illustrates Dell’s experience of such diminishing returns for its outsourced after sales product repair service and presents the development, of a new partner selection methodology which incorporates a new process improvement stage to be executed in combination with the final selection phase. This new methodology is underpinned by the development of a computer based simulation supply partner selection decision support tool for service provision. The paper highlights the significant additional cost saving benefits achievable and improvement in service through the use of advanced simulation based decision supports

Reasoning of Competitive Non-Functional Requirements in Agent-Based Models

During the decision-making process in real-time competitive environments, there is a need to perform concurrent optimisation of multiple competitive objectives to select an optimal design decision for interdependent stakeholders. To handle such issues, this thesis successfully assimilates the goal-oriented requirements-engineering knowledge with analytical decision-making approaches to facilitate reasoning and analysis by encouraging stakeholders’ involvement. This leads to optimal decisions with domain knowledge improvement in the agent-based i*-goal model by balancing multiple conflicting non-functional requirements reciprocally