Performance analysis of agile manufacturing: a case study on an Indian auto component manufacturer

Determining road handling priority is considered as a complicated multicriteria decision making problem. In so doing, the Analytic Hierarchy Process (AHP) has been widely used to weight the importance. Fuzziness and vagueness however, are typical in many decision-making problems, so that fuzzy sets could be integrated with the pairwise comparison as an extension of the AHP. This study uses Fuzzy Analytic Hierarchy Process (FAHP) and TOPSIS method in determining regencial road handling priority for road links under severe circumstances in Badung regency in Bali province. Data are taken from a previous study, which had also been conducted for Badung regencial road handling priority using the AHP and SK.NO.77/KPTS/Db/1990 method. The weights of main and sub criteria are determined using FAHP and subsequently the ranking of road links is determined using TOPSIS method. The AHP method gave somewhat different result to 'SK.NO.77/KPTS/Db/1990' method. On the other hand, FAHP and TOPSIS method produce the same result to 'SK.NO.77/KPTS/Db/1990' method. This is probably best explained by the fact that they similarly considered traffic volumes as the most significant factor. FAHP and TOPSIS method however, are preferred to the AHP and SK.NO.77/KPTS/Db/1990 method in determining regencial road handling priority in Badung regency.Abstrak. Prioritas penanganan jalan merupakan salah satu tugas berat dan penting yang dihadapi oleh pengambil keputusan pada pemerintah daerah. Pada kenyataannya, penentuan penanganan jalan dapat dilihat sebagai permasalahan pengambilan keputusan yang melibatkan banyak kriteria yang bersifat kompleks. Metode proses hirarki analitik (AHP) telah banyak digunakan untuk menentukan bobot kriteria di dalam penentuan prioritas penanganan jalan. Akan tetapi karena keragu-raguan merupakan hal yang lazim terjadi di dalam pengambilan keputusan, maka teknik fuzzy dapat dikombinasikan ke dalam metode AHP. Pada studi ini penentuan prioritas penanganan jalan kabupaten untuk kondisi rusak berat di Kabupaten Badung, Bali dilakukan dengan metode Fuzzy AHP (FAHP) dan TOPSIS. Data penelitian digunakan dari studi sebelumnya di Kabupaten Badung yang menggunakan metode AHP dan SK.NO.77/KPTS/Db/1990. Metode FAHP digunakan untuk pembobotan kriteria sedangkan metode TOPSIS digunakan untuk penentuan urutan ruas jalan yang akan mendapat penanganan. Metode AHP memberikan hasil yang sedikit berbeda dengan metode SK.NO.77/KPTS/Db/1990. Sementara itu FAHP dan metode TOPSIS memberikan hasil yang sama dengan metode SK.NO.77/KPTS/Db/1990. Hal ini kemungkinan karena kedua metode tersebut menggunakan volume lalu lintas sebagai faktor yang paling berpengaruh pada penelitian ini. FAHP dan metode TOPSIS lebih disarankan untuk digunakan di dalam penentuan prioritas penanganan jalan di Kabupaten Badung.

Most organizations today have a set of key performance indicators (KPIs) that are used for decision-making. Because a balanced scorecard approach has been widely adopted, typically KPIs have moved beyond the basic financial metrics. However, developing the right set of KPIs is an important step in promoting continuous improvement and overall business success. Organization that implement six sigma or lean six sigma have a built-in set of KPIs, such as defects, ppm defective, process yields, process cycle times, and a variety of inventory statistics, such as WIP inventory. But I don't think this goes far enough in most situations. KPIs should be traceable to customer satisfaction, both for external customers and internal ones. Organizations should formalize customer requirements and then evaluate how they are doing with respect to this list when they conduct strategic planning sessions. This is a good way to develop the right KPIs. However, overemphasis on short-term financial results can skew this process. Too much focus on quarterly growth in sales or revenue and deflect attention from the issues that contribute to long-term business growth and success. Organizations often gravitate towards collecting data that is easy to obtain, but may not be necessarily useful. An example is information about customer satisfaction data. Surveys can be useful, but may not tell the complete story. One organization that I am familiar with has a customer service line. They reported very few serious complaints from that source. Analysis revealed that the average waiting time for customers that used this line was in excess of 30 minutes. Furthermore, the ability of the system to place calls on hold was limited, so a significant number of calls were “blocked”; that is, they were not answered at all. So the volume of customer issues that this service was designed to serve was dramatically underestimated. Some KPIs are lagging indicators of business performance. Examples include sales volumes and maintenance expenses. These are usually easy to generate, but may not provide much indication of future success. Reliable forecasts of future demand (demand isn't necessarily the same as sales) is usually a better business indicator. Leading indicators are harder to devise, almost always depend on the specific nature of the individual organization, and may be difficult to generate. For example, cycle time for new product introduction is often a critical measure of future business success in many industries. If this KPI is unsatisfactory or is getting longer for unexplained reasons it may indicate an area for lean six sigma intervention. Performance measurement is an important management tool for evaluating and improving organizational success. Leading KPIs can be an effective “canary in the coal mine” warning of impending trouble. The investment required to develop and maintain the correct set of KPIs will pay many dividends.

Some Electronic Procurement Agency (LPSE) at the level of Regional Device Work Unit (SKPD) in Indonesia is still in the development stage of its life cycle, so it needs performance improvement. Key Performance Indicator (KPI) is required to measure the performance. To undertake the development of the LPSE, a sociotechnical role is required. Sociotechnical is a concept of macro ergonomics that has a principle of balancing between social and technical in running a system. So this research aims to design KPI with macro Ergonomic approach. This research was conducted at LPSE District of Kampar, Riau, Indonesia. The stages of this research are the selection of Macro Ergonomic Sub-Attributes, Expert Selection with expertise based ranks of expert, weighting using Fuzzy (Analytical Hierarchy Process) AHP, determining the priority of sub macro ergonomic attribute using Pareto and design of KPI. The result of this research are 33 Sub-Attributes of Macro Ergonomic and prioritizing resulted 18 sub-attributes of Macro Ergonomic and result 21 KPI.

Aims: It was planned that the organizational decision makers would have an increased ability to make an informed decision by having an additional source of information by the introduction of the KPI’s. A secondary aim was that by implementing a new idea and amending the knowledge to the organizational context that organizational learning will occur for participates involved in the implementation process. Rationale: This paper details the implementation of a set of Key performance indicators (KPI) at two mental health day hospitals. A set of KPI’s is a tool used to provide core measurements of service functioning and well-being. These measures provide indications that a service may not be operating within the norms or the strategic aims of an organization and that further analysis is required. KPI’s are complimentary to other organizational mechanisms of service monitoring such as clinical audit, service user feedback, staff wellbeing questionnaires and incident reporting systems. Change process: Using the HSE change model a group of staff amended the KPI to mental health context. Evaluation: To evaluate the KPI usefulness to mental health context, the degree of belief in the KPIs was assessed using an adapted questionnaire. To capture organizational learning relating to the implementation process, a focus group was used. Result: The questionnaire demonstrated a high degree of belief in the use of KPIs by key stakeholders within the organizations. The focus group identified three themes that validated learning from the implementation process. Conclusion: The implementation of the KPIs at two mental health day hospitals was confirmed as useful to a group of key stakeholder within the management structure. The high degree of belief in the KPIs and its application to the mental health day hospital context was proven. Also, organizational learning was found to occur in the form of single loop learning. Single loop learning is the learning of new knowledge or amending of new knowledge to the context that had no impact on the organizational systems in place. The understanding gained from the single loop learning will help the implementation group to use the organizational systems such as the HSE change model more efficiently in the future without changing the organizational system itself. An anecdotal finding suggests that double loop learning may have occurred. Double-loop learning occurs when new knowledge or knowledge amended to context occurs that has changed the organizational systems in place. In the evaluation of key stakeholder’s belief in KPIs, it was found that the stakeholder will use the KPIs in decision making. Using the information provided by the KPIs in organizational decision making along with changes to data collection and aggregation of reporting practices one could say that the amended notion of KPI has had an organizational impact and therefore could be classed as double looping learning though more longitudinal evaluation would be required to add strength to these findings.

In order to evaluate the performance of complex product, a fuzzy method based on fuzzy matter-element and Fuzzy Analytical Hierarchy Process (FAHP) is proposed. According to the quality objective and performance indicators, the system index of performance evaluation model is designed. Through FAHP and the model of fuzzy comprehensive estimation, the weights of evaluation index are determined for each performance criteria. Then, the performance of complex mechanical and electrical product can be identified by using the fuzzy matter-element theory and FAHP. Finally, A case study is presented to prove the method's feasibility and validity.

Power cable is one of the most important components in energy internet and energy system integration. To provide a decision support for maintenance of power cable, this paper proposes a method for comprehensive operation condition assessment of power cable based on fuzzy analytic hierarchy process and set pair analysis approach. An evaluation indicator system of cable condition was established, and the operation state was divided into four ranks, including normal, attention, abnormal and serious state. Then the fuzzy analytic hierarchy process and set pair analysis approach were introduced for the condition assessment of power cable. Operation condition assessment of power cable was conducted with the proposed method through an actual example, and the result corresponds well with the actual situation.

The applied technology university focuses on cultivating practical skill graduates. So the quality of its graduates is an important evaluation index. Because the evaluation of graduates quality is a complex and systematic project, the Fuzzy AHP (Fuzzy Analytic Hierarchy Process) was selected to evaluate the quality of graduates in W university, which combines Fuzzy mathematics theory and AHP. With analysis, the quality of W university students is general. And the school has a good background, but the execution and feedback of theoretical and practical courses need to be strengthened. According to calculation, the weights of four categories of indicators are similar, which indicates that applied-type transformation is a systematic engineering that should pay attention to the whole process. On the other hand, the weight of graduates' employment quality is the most important index, reflecting the strong adaptability of applied-technical talents to employment environment. The technology-oriented universities should strengthen the communication with enterprises and graduates.KeywordsGraduate qualityUniversity of applied technologyFuzzy AHP

Fuzzy AHP as a tool for prioritization of key performance indicators

In recent years an increasing number of countries have implemented policy measures to promote renewable energy. However, the most important problem that the policy makers face with is the conflicting linguistic terms and subjective opinions on energy and environment policy. As the environmental policy and energy policy always go hand in hand, it is quite clear that wind as a renewable resource should be competitive with conventional power generation sources. From technical, environmental, socio-economical and socio-political standpoint, wind power is the most deserving of all of the cleaner energy production options (geothermal, solar, tidal, biomass, hydro) for more widespread deployment. Although wind power is a never ending green resource, assessment of environmental risks and impactswhich comprise the backbone of environmental policyin the context of specific projects or sites often are necessary to explicate and weigh the environmental trade-offs that are involved. In the case of wind farms, a number of turbines (ranging from about 250 kW to 750 kW) are connected together to generate large amounts of power. Apart from the constraints resulting from the number of turbines, any site selection should think over the technical, economic, social, environmental and political aspects. Each aspect uses criteria for its own evaluation. Decision making by using multi criteria decision analysis is an attractive solution for obtaining an integrated decision making result. Although Lee et al. (2009), Kaya and Kahraman (2010) and Tegou et al. (2010) has studied wind farm site selection by using different kinds of Analytic Hierarchy Process (AHP), Cheng’s extent analysis of Fuzzy AHP (FAHP) is used in this study and a holistic hierarchy were developed. The analytic hierarchy process (AHP) is a multi-criteria decision making tool to deal with complex, unstructured and multi-attribute problems. This method is distinguished from other multi-criteria methods in three ways: I. Construction of the hierarchy structure II. Pairwise comparisons of different criteria III. Weighing with respective to the overall objective. In AHP, decision makers quantify the importance of criteria by using Cheng’s 1-9 scale. To overcome the disadvantage of reluctant and inconsistent comparison judgments, fuzzy analytic hierarchy process (FAHP) might be used on each factor to determine the weight of fuzziness of its attributes. Hierarchy structure diagram of wind farm site selection is given in Figure 1. This study aims to apply the FAHP to find priority sequence of alternatives and obtain the key success factors for the selection of appropriate sites of wind farms.

Ranking of MUDA using AHP and Fuzzy AHP algorithm

PurposeThe study aims at empirically investigating and prioritizing the critical barriers for the successful implementation of agile manufacturing in the medium- and large-scale Indian manufacturing industries.Design/methodology/approachA literature review of peer-reviewed journals and discussion with experts is used to identify 17 barriers to the implementation of agile manufacturing. An empirical survey is then conducted to collect data regarding the agile manufacturing barriers and is further analyzed using the factor analysis and vlsekriterijumska optimizacija i kompromisno resenje (VIKOR).FindingsBased on the survey of empirical data, the investigated critical barriers were reduced in five critical categories, as follows: Managerial constraints, technological constraints, human resource–related constraints, operational constraints and organizational culture-related constraints, which are further ranked in terms of their severity using VIKOR. This research advocates the development of a strategy for addressing the most critical barriers instead of focusing on all for the successful implementation of agile manufacturing.Originality/valueThis work contributes to agile manufacturing literature by the structured presentation of the barriers to implement agile manufacturing in the Indian manufacturing industry. It also extends the integrated factor analysis and VIKOR method to investigate and rank the barriers.

Evaluation of hospital disaster preparedness by a multi-criteria decision making approach: The case of Turkish hospitals

Leagile manufacturing strategy has emerged as one of the important strategy adopted by most of manufacturing organizations now a days. It has advantages of both lean as well as agile manufacturing system. Lean manufacturing tries to eliminate all different types of wastages like overproduction, inventory, unnecessary motion etc., while agile manufacturing focus on changing the production system as per the requirements of the customer and provide customized products within short span of time. Lean manufacturing focuses on no inventory and try to implement Just in Time methodology but for the system to be agile, there should be at least some inventory in store so that production can be started as soon as customer order is achieved. In this paper, key performance indicators (KPI) of leagile manufacturing are found by literature review and in consultation of experts and academicians working in the concerned field. Fuzzy TISM approach has been applied to find levels of different KPI’S. MICMAC analysis has been made to analyze the KPI’S and categorize them as autonomous, dependent, linkage, independent etc. on the basis of driving and dependence power. Finally, digraph is drawn to show relationship between various KPI’s.

Using Fuzzy AHP to manage Intellectual Capital assets: An application to the ICT service industry

The analytic hierarchy process (AHP) approach has been widely applied in multiattribute decision-making situations since being introduced in 1980. It has been believed that the AHP is appropriate to assist decision-making problems characterized by a number of interrelated factors. Recently, a derivative of the AHP, the so-called fuzzy AHP, has been developed by mixing AHP with a fuzzy set theory. This new method increasingly extends its application areas in construction management. Despite extensive use of the fuzzy AHP, little research has been conducted as to the comparability of calculated priority weight vectors by the fuzzy AHP with those by the traditional AHP. Therefore, this paper mainly focuses on the comparison of two AHP approaches by investigating weight vectors produced from a real case study. From the previous studies, four different fuzzy AHP approaches are prepared by applying different fuzzy fundamental scales and weight aggregations, and are tested to identify which method produc...