Academic literature on the topic 'Agile measurement index (SAMI)'

Purpose – The purpose of this paper is to investigate the influence of decision-makers’ (DM) risk bearing attitudes and the effect of the decision-making environment on estimating the overall degree of agility of an organization. The present study explores an extended agility model in a specific organization's hierarchy and reflects how decision-making attitudes alter an organizational agility scenario. Design/methodology/approach – The concept of fuzzy logic has been explored in this paper. Based on DMs’ linguistic judgments, a fuzzy appropriateness rating as well as fuzzy priority weights have been determined for different levels of agile system hierarchy. Using a multi-grade fuzzy approach the overall agility index has been determined. The concept of fuzzy numbers ranking has been explored to show the effect of decision-making attitudes on agility estimations. Findings – Decision-making attributes, e.g. the category of DM (neutral, risk-averse and risk-taking), affect the quantitative evaluation of the overall agility degree, which is correlated with a predefined agility measurement scale. Research limitations/implications – This study explores a triangular fuzzy membership function to express DMs’ linguistic judgments as fuzzy representations. Apart from triangular fuzzy numbers, trapezoidal and Gaussian fuzzy numbers may also be used for agility evaluation. The model may be used in other agile industries for benchmarking and selection of the best approach. Practical implications – Selecting the right decision-making group to compute and analyze the agility level for a particular organization is an important managerial decision. In the case of benchmarking of various agile enterprises the decision-making group bearing the same attitude should be utilized. Originality/value – Agile system modeling and development of agility appraisement platforms have been attempted by previous researchers while the influence of DMs’ risk bearing attitudes, and the effect of the decision-making environment on estimating the overall degree of agility, have rarely been studied. In this context, the authors explore an exhaustive agility model for implementing in a case study and reveal how decision-making attitudes alter organizational agility scenarios.

Purpose – The purpose of this paper is to determine the agility level of a manufacturing system along different timelines. Design/methodology/approach – The fuzzy synthetic extents of agile manufacturing enablers (AMEs), on the basis of their importance, are determined. Then they are integrated with their performance ratings along different timeline for calculating the Fuzzy Agile Manufacturing Index (FAMI). Euclidean distances of FAMI from predetermined agility levels are mapped to determine the agility level of the manufacturing system along different timeline. Findings – The proposed methodology was implemented in an Indian manufacturing organization to determine its agility level. It was concluded from the obtained results that there was significant improvement in the agility level along the timeline. Research limitations/implications – The weights of the AMEs are assumed to be constant along the timeline. Practical implications – The supply chain mangers can easily apply this methodology in their respective manufacturing organizations to assess and determine the agility level. This proposed approach will show the direction to check the performance of agility and evaluate the evolution of agility in their respective manufacturing organizations. Originality/value – The combination of fuzzy synthetic extent of weights and average fuzzy performance ratings of AMEs to calculate the FAMI along the timeline considering judgments of multiple experts is a unique contribution.

Pharmaceuticals companies manufacture and maintain the stocks of several medicines. Presently, hospitals maintain stock to supply the appropriate medicine to patients under their care. The availability of medicines is dependent on the service level of suppliers. In last decade, the pharmaceutical supply chains have been an increasingly important topic. Pharmaceutical supply chains of the medicine manufacturing firm are based on traditional supply chain strategies. But, the concept became obsolete, replaced by modern supply chain strategy. The modern supply chain better analyzes pharmaceutical architectures such as green, service, agile, resilient, flexible manufacturing and is called the pharmaceutical G-F-A-L-R supply chain. To evolve a new model for the pharmaceutical supply chain, a 2nd second level pharmaceutical hierarchy G-F-A-L-R supply chain module structure has been constructed, where a Fuzzy Performance Index model has been applied on the module to compute the overall performance of individual pharmaceutical companies.

Purpose Modular product development is a turning table concept in terms of benefits and impact in manufacturing companies. It offers added benefits to the companies with respect to reduce lead-time, improve assemble ability and agility in supply chain management, promote product family and enhance customer satisfaction. This paper aims to identify the patterns of modular product development strategy by using measurement techniques. Design/methodology/approach Both quantitative and qualitative approaches are considered. In the qualitative section, relevant data on product design are collected from six case companies. On the other hand, in the quantitative section, collected data are analyzed to measure the product modularity level with the case companies. Findings This research identifies potential metrics which can be used successfully to measure product modularity level or index in manufacturing industries. Selection of such metrics also depends on individual company’s objectives to measure modularity index. Originality/value This research contributes to the development of modular product design that supports product family design with lean and agile (leagile) supply chain process. It also provided a parsimonious framework to mapping modules within a product, which is ultimately used to measure modularity index.

The purpose of this study has been to examine how mature eight Swedish companies are in regards of IT- and agile maturity. Furthermore, how they can improve upon their IT- and agile maturity. The research objects of this study has been eight different organizations who all hired the same IT-consultancy. Information has been gathered through semi-structured interviews with respondents from each organization. The interviews were built upon a theoretical framework consisting of Ragowsky et al. (2012) IT-maturity model and Sidky et al. (2007) Agile Measurement Index (SAMI). We have attempted to combine the models into a matrix model that takes both types of maturity into account. The results have shown a greater level of IT-maturity than expected. Agile maturity on the other hand have been a contributing factor to failures in some of the projects. Although we have found that being mature in only one of the factors has been unusual. In conclusion, the organizations in our sample have shown high IT-maturity so the next challenge for Swedish organizations seems to be to acquire greater agile maturity.