A multi-criteria evaluation of centralized and decentralized production networks in a highly customer-driven environment

Mourtzis, Dimitris; Doukas, M.; Psarommatis, Foivos

doi:10.1016/j.cirp.2012.03.035

Cited by 98 publications

(37 citation statements)

References 18 publications

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“…The new paradigm of mass customization is forcing manufacturers to redesign and change products constantly [33][34][35]. As a consequence, products life cycles have been decreasing making sales at the SKU (Stock Keeping Unit) level in a particular store difficult to forecast, as time series for these products tend to be short.…”

Section: Discussionmentioning

confidence: 99%

Performance of state space and ARIMA models for consumer retail sales forecasting

Ramos

Santos

Rebelo

2015

Robotics and Computer-Integrated Manufacturing

172

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a b s t r a c tForecasting future sales is one of the most important issues that is beyond all strategic and planning decisions in effective operations of retail businesses. For profitable retail businesses, accurate demand forecasting is crucial in organizing and planning production, purchasing, transportation and labor force. Retail sales series belong to a special type of time series that typically contain trend and seasonal patterns, presenting challenges in developing effective forecasting models. This work compares the forecasting performance of state space models and ARIMA models. The forecasting performance is demonstrated through a case study of retail sales of five different categories of women footwear: Boots, Booties, Flats, Sandals and Shoes. On both methodologies the model with the minimum value of Akaike's Information Criteria for the in-sample period was selected from all admissible models for further evaluation in the out-of-sample. Both one-step and multiple-step forecasts were produced. The results show that when an automatic algorithm the overall out-of-sample forecasting performance of state space and ARIMA models evaluated via RMSE, MAE and MAPE is quite similar on both one-step and multi-step forecasts. We also conclude that state space and ARIMA produce coverage probabilities that are close to the nominal rates for both one-step and multi-step forecasts.

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Section: Discussionmentioning

confidence: 99%

Performance of state space and ARIMA models for consumer retail sales forecasting

Ramos

Santos

Rebelo

2015

Robotics and Computer-Integrated Manufacturing

172

View full text Add to dashboard Cite

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“…MNA controls the breadth of the search, DH controls the depth, and SR directs the search towards branches of high-quality solutions [43]. The proper selection of MNA, DH, and SR allows the identification of a good solution by examining a limited portion of the search space, thus effectively reducing computational time.…”

Section: Description Of the Short-term Scheduling Mechanismmentioning

confidence: 99%

A mobile application for knowledge-enriched short-term scheduling of complex products

2016

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The ever-increasing product complexity, especially for the case of engineer-to-order products, highly affects the performance of manufacturing systems. Therefore, a high degree of flexibility is needed during daily decision-making activities, such as production scheduling. For addressing this challenge, this research work proposes a knowledge-enriched short-term job-shop scheduling mechanism, which is implemented into a mobile application. More precisely, it focuses on the short-term scheduling of the resources of the machine shop, through an intelligent algorithm that generates and evaluates alternative assignments of resources to tasks. Based on the requirements of a new order, a similarity mechanism retrieves successfully executed past orders together with a dataset that includes the processing times, the job and task sequence, and the suitable resources. In addition to that, the similarity mechanism is used to calculate the due-date assignments of the orders based on the knowledge stored in past cases. Afterwards, it adapts these parameters to the requirements of the new order so as to evaluate the alternative schedules and identify a good alternative in a timely manner. The deriving schedule can be presented on mobile devices, and it can be manipulated by the planner on-thefly respecting tasks precedence constraints and machine availability. A case study from the mould-making industry is used for validating the proposed method and application.

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“…(2) Companies are organizationally distributed by product types and regional added value. The more decentralized the facilities are, the more the supply chain covers a large production breadth (Mourtzis et al 2012). Based on geographic distribution of facilities and the significance of local adaptation, five subclasses are identified (Abele et al 2008): (2a) World factory provides a centralized production system with either one or very few facilities for industries with major economies of scale and scope.…”

Section: Classification Of Production Systemsmentioning

confidence: 99%

Design of production systems with hybrid energy and water generation for sustainable value creation

Emec

Bilge

Seliger

2015

Clean Techn Environ Policy

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Population growth, connected with rising incomes, urbanization, fidelity to dogmas and climate change, places pressure on the food industry. This significantly increases the inextricably-linked demand of production systems for water and energy. Technological solutions-such as increasing accessibility and further reducing costs-can be employed to overcome the limitations created by the local availability of resources. This paper develops a new methodology generating sustainable value, and thus achieving a competitive advantage in business ecosystems. The methodology addresses both the key requirements of sustainable development and the preferences of stakeholders. A set of design conditions are proposed to develop eco-efficient, socio-eco-effective, and adaptable production systems under changing limitations. An international project is launched to demonstrate the superiority of the design methodology and to create awareness about interdependencies among the prevalent design conditions and regional limitations. The task aims at developing technological solutions, which can be retrofitted in existing production systems to increase the sustainable local added value and capacity for regions affected by climate change. The impact of climate change is more obvious in semi-closed ecosystems. Cyprus is one of the Mediterranean islands with such a semi-closed ecosystem. Combined with water scarcity and rising prices in electricity, this made Cyprus an ideal testing ground for the methodology. The selected solution includes the use of hybrid energy and water generation to process agricultural products and to recycle organic waste. This solution achieves a nearly zero emission, zero water footprint and increases the local added value by product-service systems. To support decision-makers, various technologies and their feasibility are considered, evaluated and recommendations are made for implementing the modular solutions.

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A multi-criteria evaluation of centralized and decentralized production networks in a highly customer-driven environment

Cited by 98 publications

References 18 publications

Performance of state space and ARIMA models for consumer retail sales forecasting

Performance of state space and ARIMA models for consumer retail sales forecasting

A mobile application for knowledge-enriched short-term scheduling of complex products

Design of production systems with hybrid energy and water generation for sustainable value creation

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