Measuring and monitoring the performances of supply chains over time is a primary interest factor for companies. In this way, it is possible to determine the effectiveness and efficiency of strategies for being competitive in global markets, verify the achievement of the predetermined targets, and establish intervention and improvement measures. In this context, key performance indicators (KPIs) are widely used to measure the numerous activities performed across a supply chain. Numerous KPIs are available in the literature, and they are often customized by each user to make them more suitable for their reference context. This paper analyzes the logistic “fill rate” KPI that characterizes the shipping phase of goods by evaluating the fill rate of the transport unit used. A case study analyzes the fill rate indicator used by a multinational corporation that produces and markets food packaging. Through the DMAIC (Define, Measure, Analyze, Improve, and Control) approach, the criticalities of the current formulation of the index are highlighted, and a new model for calculating the index is proposed and applied experimentally at a plant in northern Italy.

Optimization of the logistic “fill rate” key performance indicator through the application of the DMAIC approach / Marinello, Samuele; Zhao, Qian; Coruzzolo, ANTONIO MARIA; Balugani, Elia; Gamberini, Rita; Lolli, Francesco. - In: ANNALS OF DAAAM FOR ... & PROCEEDINGS OF THE ... INTERNATIONAL DAAAM SYMPOSIUM .... - ISSN 1726-9679. - 34:1(2023), pp. 475-484. (Intervento presentato al convegno 34th International DAAAM Symposium on Intelligent Manufacturing and Automation tenutosi a Vienna nel 26-27 October) [10.2507/34th.daaam.proceedings.062].

Optimization of the logistic “fill rate” key performance indicator through the application of the DMAIC approach

Marinello Samuele;Zhao Qian
;
Coruzzolo Antonio Maria;Balugani Elia;Gamberini Rita;Lolli Francesco
2023

Abstract

Measuring and monitoring the performances of supply chains over time is a primary interest factor for companies. In this way, it is possible to determine the effectiveness and efficiency of strategies for being competitive in global markets, verify the achievement of the predetermined targets, and establish intervention and improvement measures. In this context, key performance indicators (KPIs) are widely used to measure the numerous activities performed across a supply chain. Numerous KPIs are available in the literature, and they are often customized by each user to make them more suitable for their reference context. This paper analyzes the logistic “fill rate” KPI that characterizes the shipping phase of goods by evaluating the fill rate of the transport unit used. A case study analyzes the fill rate indicator used by a multinational corporation that produces and markets food packaging. Through the DMAIC (Define, Measure, Analyze, Improve, and Control) approach, the criticalities of the current formulation of the index are highlighted, and a new model for calculating the index is proposed and applied experimentally at a plant in northern Italy.
2023
34th International DAAAM Symposium on Intelligent Manufacturing and Automation
Vienna
26-27 October
34
475
484
Marinello, Samuele; Zhao, Qian; Coruzzolo, ANTONIO MARIA; Balugani, Elia; Gamberini, Rita; Lolli, Francesco
Optimization of the logistic “fill rate” key performance indicator through the application of the DMAIC approach / Marinello, Samuele; Zhao, Qian; Coruzzolo, ANTONIO MARIA; Balugani, Elia; Gamberini, Rita; Lolli, Francesco. - In: ANNALS OF DAAAM FOR ... & PROCEEDINGS OF THE ... INTERNATIONAL DAAAM SYMPOSIUM .... - ISSN 1726-9679. - 34:1(2023), pp. 475-484. (Intervento presentato al convegno 34th International DAAAM Symposium on Intelligent Manufacturing and Automation tenutosi a Vienna nel 26-27 October) [10.2507/34th.daaam.proceedings.062].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1334774
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