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Article
Publication date: 1 October 2002

Massimo Bertolini and Antonio Rizzi

In this paper we introduce a simulative model, designed and developed to optimally manage an integrated finished goods inventory system, and suitable for adoption in a…

Abstract

In this paper we introduce a simulative model, designed and developed to optimally manage an integrated finished goods inventory system, and suitable for adoption in a wide range of make to stock manufacturing firms. The goal of the model is to manage optimally finished goods inventory levels, in order to minimize costs deriving from holding inventory and from adjustment to the master production schedule (MPS) to prevent stock‐outs. A trade off is sought between these costs components. The input variables of the model are: safety stock levels, assessed through coefficients k1, k2 and k3, and the stochastic distribution functions of products demand. The model performances are assessed considering the annual total cost for the inventory management. The model is then tested by a numerical application. The case considered refers to a major firm operating in the zootechnical feeds production industry.

Details

Logistics Information Management, vol. 15 no. 4
Type: Research Article
ISSN: 0957-6053

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Article
Publication date: 1 October 1999

Antonio Rizzi and Roberto Zamboni

Deals with the issues related to the implementation, in a manual finished goods warehouse, of an ERP information system aimed at improving warehouse internal logistics…

Abstract

Deals with the issues related to the implementation, in a manual finished goods warehouse, of an ERP information system aimed at improving warehouse internal logistics efficiency. Specifically it is observed that the mere implementation of an integrated warehouse management information system does not actually guarantee the optimization of warehouse logistics. Rather, to improve the overall systems efficiency, it is required that ERP implementation be combined with the redesign and the reorganization of warehouse logistics and processes. This means that to achieve an effective synergic effect and thus effectively increase systems efficiency, both these steps have to be undertaken concurrently, grounding the reorganization and redesign phase on the implementation fallouts )in first place higher traceability levels gained(. The whole project is then applied to a real case of a finished goods manual warehouse, with pile storage systems.

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Logistics Information Management, vol. 12 no. 5
Type: Research Article
ISSN: 0957-6053

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Article
Publication date: 1 June 2004

Massimo Bertolini, Maurizio Bevilacqua, Eleonora Bottani and Antonio Rizzi

This paper presents the results of a panel of experts, made up of academics in the field of operations and supply chain management, enterprise requirement planning…

Abstract

This paper presents the results of a panel of experts, made up of academics in the field of operations and supply chain management, enterprise requirement planning software developers, and end‐users, whose work has aimed at defining the main features that characterize an enterprise modeller for the fashion industry. The characteristics required by the enterprise requirement planning enterprise modeller have been identified, with specific attention to the production planning and control module. Because of the peculiarities of this line of business, it is widely recognized that both vendors and buyers would benefit from such a tool. For the formers, the availability of a pre‐customized reference model would represent a competitive advantage in the marketplace, for the latter, on the other hand, it would enhance the effectiveness, the efficiency and the likelihood of success of the enterprise requirement planning implementation project.

Details

Journal of Enterprise Information Management, vol. 17 no. 3
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 1 July 2006

Eleonora Bottani and Antonio Rizzi

To present a multi‐attribute approach for the selection and ranking of the most suitable 3PL service provider.

Abstract

Purpose

To present a multi‐attribute approach for the selection and ranking of the most suitable 3PL service provider.

Design/methodology/approach

The approach is based on the TOPSIS technique (Technique for Order Preference by Similarity to Ideal Solution) and the fuzzy set theory.

Findings

A quantitative methodology based on a structured framework, for the selection of the most appropriate 3PL service provider.

Research limitations/implications

Future research may attempt to compare the results of the methodology proposed with those of other Multi Attribute Group Decision Making methods. In particular, the selection tree could be developed in a multi‐tier hierarchy, trying to punctually address the relationships between the upper tier criteria and the lower level ones. With multi‐tier hierarchies, the performance of AHP could be compared with the one obtained with TOPSIS, not only with respect to “technical suitability” but also in terms of easiness to implement, shortcomings and general managerial viability.

Practical implications

From the application of the methodology to a real case, the approach proposed emerges as an appropriate tool, which makes it possible to easily and effectively rank alternatives. Conversely the most critical issue pointed out by the real case application is the preliminary “request of information” phase, which has to be given critical attention. The availability of a well structured body of knowledge about potential candidates emerged as the true discriminant for an effective analysis.

Originality/value

The originality of the paper is threefold: first, an original framework of criteria for the selection of the most suitable 3PL service provider is presented. Second, an original methodology based on a fuzzy TOPSIS approach is presented. Third, the practical implications and drawbacks are discussed by means of a real case application.

Details

Supply Chain Management: An International Journal, vol. 11 no. 4
Type: Research Article
ISSN: 1359-8546

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Article
Publication date: 1 May 2001

Alberto Petroni and Antonio Rizzi

This research seeks to provide an understanding of the MRP adoption process using classic adoption models for prediction. To this end, four classical adoption models were…

Abstract

This research seeks to provide an understanding of the MRP adoption process using classic adoption models for prediction. To this end, four classical adoption models were used to provide the foundation for the constructs tested in this study. The framework of research strives to investigate the relationships between benefit analysis, feasibility studies, organizational willingness and the mediating construct, MRP positive evaluation. A statistical analysis on a sample of 109 small and medium‐sized firms was carried out which revealed that these constructs play an important role in the decision making process leading, ultimately, to MRP adoption. The analysis has, thus, lent support to the adoption models considered and might provide useful indications to managers seeking to maximize the investment in MRP packages.

Details

Benchmarking: An International Journal, vol. 8 no. 2
Type: Research Article
ISSN: 1463-5771

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Book part
Publication date: 29 January 2013

Julián Arellana, Juan de Dios Ortúzar and Luis Ignacio Rizzi

Purpose – Departure time choice not only depends on the desire to carry out activities at certain times and places; it is a complex decision making process influenced by…

Abstract

Purpose – Departure time choice not only depends on the desire to carry out activities at certain times and places; it is a complex decision making process influenced by travel conditions, congestion levels, activity schedules, and external trip factors. To estimate departure time choice models capturing the factors influencing it in appropriate form, a complex data collection procedure allowing to obtain detailed input data from different sources and at different time periods is required.

The main aim of this chapter is to describe and discuss the survey methodology we used in a time-of-day choice project, involving the collection of revealed preference (RP) and stated preference (SP) data to estimate hybrid discrete departure time choice models incorporating latent variables. Preliminary model results are also presented as an example.

Methodology/approach – Data was obtained from 405 workers at different private and public institutions located in the centre of Santiago, Chile. The survey process had three different stages and used various collection methods (e-mail, web-page, and personal interviews at the workplace) in order to satisfy efficiency, reliability and cost criteria.

The RP component survey design was based on the last origin-destination survey implemented in Santiago (i.e. a travel diary filled under an activity recall framework). Relevant level-of-service measures at different time periods were obtained from GPS data measured from instrumented vehicles in the public and private transport networks. A SP-off-RP optimal design considering dependence among attribute levels was also developed. Finally, several 1–7 Likert scale questions were included to incorporate the latent variables.

Findings – The survey methodology described in this chapter represents a successful experience in terms of collecting high quality data, from different sources, with the aim of estimating appropriate time-of-day choice models. The data collection process was carried out in different stages, by means of web pages, email, and personal interviews. The data was further enriched with level-of-service attributes measured at different times of the day with unusual precision. Preliminary results reported in this chapter show that data obtained through this methodology are appropriate to model time-of-day choices.

Originality/value of chapter – The novelty of the survey methodology described in this chapter is the collection of data of a different nature for time-of-day choice modelling through the integration of different collection techniques.

Acquisition of very precise information about preferred departure/arrival times, level of service at different times of the day, detailed information about flexibility in schedules, employment information and attitudes towards departure times, should allow practitioners to estimate hybrid time-of-day choice models incorporating latent variables.

Details

Transport Survey Methods
Type: Book
ISBN: 978-1-78-190288-2

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Book part
Publication date: 29 January 2013

Abstract

Details

Transport Survey Methods
Type: Book
ISBN: 978-1-78-190288-2

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Book part
Publication date: 29 January 2013

Johanna Zmud, Martin Lee-Gosselin, Marcela Munizaga and Juan Antonio Carrasco

This book provides an international perspective on improving information to support transportation decision making. It comprises a selection of papers plus workshop…

Abstract

This book provides an international perspective on improving information to support transportation decision making. It comprises a selection of papers plus workshop syntheses from the 9th International Conference on Transport Survey Methods in Chile in November 2011. The conference was organized into 14 workshops with both paper presentations and discussions in the workshops forming the majority of the conference activity. The papers reported primarily on research pertaining to continuous improvement in transport survey methods — the backbone of the transportation data pipeline in most countries. But some papers also addressed the new ways in which innovation — notably technological innovation — is being applied to the capture and analysis of data to produce necessary information faster, better, and less expensively. The conference program built on a rich legacy of intellectual pursuits spanning the past two decades, and it is anticipated that the conference will continue into the future. Thus, the contents of this book represent a 5–10 year view through a moving window on the international state of the practice and concerns in transport survey methods.

Abstract

Details

Transport Survey Methods
Type: Book
ISBN: 978-1-78-190288-2

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Abstract

Details

Transport Survey Methods
Type: Book
ISBN: 978-1-78-190288-2

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