1,720,990 research outputs found
Just-in-time in ATO vehicle manufacturing: The Minivan-Piaggio V.E. case study
No full textThe system adopted by Piaggio V.E. to run the production of 'Minivan' aims at conciliating the manufacturing philosophy 'just-in-time' JIT with the creation of a wide range of end-product codes. Some general assumptions for a JIT production, with small lot sizes, are described together with their implementation in the operationorganizing system adopted by Piaggio V.E. for the 'Minivan' assembly line. The strategy pursued by Piaggio V.E. for the Minivan focuses on the quality of the product and the level of service in the form of fast order cycle and a high number of options offered on catalogue. According to the logic of an ATO production system, the customer orders a customized product and the manufacturer does not keep any finished inventory, but aims at effective management of the information flows
Curling linearity into circularity: The benefits of formal scavenging in closed-loop settings
No full textScavengers – actors who collect and redistribute waste into circular ecosystems to reuse or recycle it – may improve resource availability and sustainability in the firms' procurement business process. In Closed-Loop Supply Chains, their role is crucial to the business stability. Indeed, governments and the private sectors are encouraged to formalize them, that is, to institutionalize and regulate them and to provide them with the appropriate organization, training, and infrastructures. Yet, to our best knowledge, the scientific literature has not empirically investigated how formal scavengers may advantage those firms that decide to involve them in their procurement process. To do so, a case study was developed in an Italian Pulp & Paper firm that operates in closed-loop settings and that integrated one formal scavenger into its own business to feed its paper mill – one of the biggest in Europe. The findings show that the introduction of the scavenger entailed four benefits: procurement risk mitigation, lower environmental impact, lower procurement costs, and better quality assurance. By considering conservative estimates related to purchasing the waste paper from the secondary raw materials market on a one-year time window, the scavenger has led to a 7.2 % reduction in the procurement costs and a 21 % improvement in the CO2 emissions. Finally, implications for Supply Chain Management and policymaking were outlined
How to Measure the ET-ET Construct for Ambidexterity Comparative Analysis of Measures and New Measurement Proposal
Full text linkLeveraging procurement-related knowledge through a fuzzy-based DSS: a refinement of purchasing portfolio models
Full text linkPurpose: This paper aims to model a decision support system (DSS) that could overcome the oversimplified, subjective, compensatory decision logic of extant purchasing portfolio models (PPMs) by leveraging the firms’ procurement-related knowledge base. Design/methodology/approach: The DSS was developed through a fuzzy-based approach, whose design and application were framed within a case study in a multinational company. Findings: The application of the fuzzy-based DSS to a product class suggests investing in the relationship with two specific suppliers and to loosen the relationship with a third one. Research limitations/implications: Exploiting the fuzzy set theory and fostering the elicitation of procurement-related knowledge from the decision-makers, the DSS effectively tackles the concerns about the existing PPMs by including strategic-oriented priorities and contextual constraints in the evaluation. Practical implications: The recommendations in output from the DSS are feasible, more analytical and easy to interpret, enabling knowledge sharing, group decision processes and better decision-making. Originality/value: To the best of the authors’ knowledge, this manuscript is the first attempt to effectively integrate traditional PPMs with contextual, strategy-related factors to refine the purchasing directions and make them objective
Data-driven enabling of port performance improvements: the case of a port community system
No full textThe purpose of this work is to investigate if an enhanced port data availability, attained
through a Port Community System (PCS), can enable improvements in port processes.
By applying a data-driven approach, based on Process Mining techniques, to a dataset
of the export process from a PCS-enabled Mediterranean port, we found out three flaws
among the export activities that cause low time-based performances in some process
instances. Fixing these issues could reduce the time length of the export documentation
flow and, then, the overall time performance of the export process
Towards analytics-enabled efficiency improvements in maritime transportation: A case study in a mediterranean port
Full text linkThe current digitalization trend, the increased attention towards sustainability, and the spread of the business analytics call for higher efficiency in port operations and for investigating the quantitative approaches for maritime logistics and freight transport systems. Thus, this manuscript aims at enabling analytics-driven improvements in the port transportation processes efficiency by streamlining the related information flow, i.e., by attaining shorter time frames of the information and document sharing among the export stakeholders. We developed a case study in a mid-sized European port, in which we applied Process Mining (PM)-an emerging type of business analytics-to a seven-month dataset from the freight export process. Four process inefficiencies and an issue that can jeopardize the reliability of the time performance measurements were detected, and we proposed a draft of solutions to cope with them. PM enabled enhancements in the overall export time length, which might improve the vessels' turnover and reduce the corresponding operational costs, and supported the potential re-design of performance indicators in process control and monitoring. The results answer the above-mentioned calls and they offer a valuable, analytics-based alternative to the extant approaches for improving port performance, because it focuses on the port information flow, which is often related to sustainability issues, rather than the physical one
A process mining methodology for modeling unstructured processes
No full textThe effective representation of business processes is widely recognized as a critical task in Business Process Management (BPM). Unfortunately, the complexity of unstructured processes makes process modeling extremely challenging and limits the suitability of traditional model-driven approaches, which appear considerably less effective and efficient. Nevertheless, most of the recent and promising data-driven approaches dealing with unstructured processes are not yet completely developed and typically fail to provide an adequate procedural process model. This study proposes a novel process mining-based methodology to achieve a significant process model when unstructured processes occur. Specifically, the method assesses and combines the outcomes of different process mining algorithms by evaluating the process model through appropriate quality parameters (i.e., accuracy and comprehensibility). The final output of the method corresponds to a unitary procedural process model that is mathematically computable, evaluable through objective quality metrics, comparable with other process models, convertible to other model languages, and usable for supporting BPM activities. Finally, a real case study of an Italian hospital is presented to verify the applicability of the proposed methodology
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