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Open Access
Article
Publication date: 10 April 2018

Devrim Murat Yazan, Davide Cafagna, Luca Fraccascia, Martijn Mes, Pierpaolo Pontrandolfo and Henk Zijm

This paper aims to understand the implementation of a circular economic business where animal manure is used to produce biogas and alternative fertilizer in a regional network of…

7999

Abstract

Purpose

This paper aims to understand the implementation of a circular economic business where animal manure is used to produce biogas and alternative fertilizer in a regional network of manure suppliers and biogas producers and to reveal the impacts of five variables (manure quantity, transportation distance, manure dry content, manure price and manure discharge price) on the economic sustainability of manure-based biogas supply chains.

Design/methodology/approach

An enterprise input-output approach is used to model physical and monetary flows of the manure-based biogas supply chain. Computational experiments are performed on all variables to identify under which conditions the cooperation is beneficial for all actors.

Findings

The cooperation is profitable for a large-scale farm (>20,000 t/year) if biogas producer (b) pays farmer (f) to receive its manure (5 €/t) or if f sells manure for free and manure disposal costs are >10 €/t. Cooperation is always profitable for b if f pays b to supply its manure (5€/t). If b receives manure for free, benefits are always positive if b is a medium-large-scale plant (>20,000 t/year). For a small-scale plant, benefits are positive if manure dry content (MDC) is ≥12 per cent and transportation distance is ≤10 km.

Originality/value

The paper adds value to the biogas production research, as it makes holistic analysis of five variables which might change under different policy and geographical conditions. The investors in biogas production, suppliers and transportation companies can find correspondence to empirical findings for their own site-specific cases.

Content available
Article
Publication date: 14 March 2008

61

Abstract

Details

Journal of Modelling in Management, vol. 3 no. 1
Type: Research Article
ISSN: 1746-5664

Content available
Article
Publication date: 21 March 2008

Zahir Irani

335

Abstract

Details

Transforming Government: People, Process and Policy, vol. 2 no. 1
Type: Research Article
ISSN: 1750-6166

Content available
Article
Publication date: 13 March 2009

Adam Lindgreen, Francois Maon and Valerie Swaen

1534

Abstract

Details

Supply Chain Management: An International Journal, vol. 14 no. 2
Type: Research Article
ISSN: 1359-8546

Open Access
Article
Publication date: 2 May 2023

Juan Carlos Quiroz-Flores, Renato Jose Aguado-Rodriguez, Edisson Andree Zegarra-Aguinaga, Martin Fidel Collao-Diaz and Alberto Enrique Flores-Perez

This paper aims to find the best tools to influence the improvement of sustainability in food supply chains (FSCs) by conducting a systematic review of articles. The reader will…

1820

Abstract

Purpose

This paper aims to find the best tools to influence the improvement of sustainability in food supply chains (FSCs) by conducting a systematic review of articles. The reader will learn how the different industry 4.0 tools (I4.0T) benefit the FSC and the limitations of each tool.

Design/methodology/approach

A review of 436 articles published during the period 2019 to 2022 referenced in the Scopus and Web of Science databases was performed. The review was limited to articles published in English and directly related to Industry 4.0, circular economy and sustainability in the food supply chain.

Findings

The results show different contributions of I4.0, with some being more influential than others in improving sustainability in FSCs; for example, Internet of Things and Blockchain have been shown to contribute more toward transparency, traceability, process optimization and waste reduction.

Originality/value

The paper's contribution consisted of ranking according to their importance and the I4.0T that affect sustainability in FSCs by classifying the aspects of each tool and the sustainability factors through a categorization by the Analysis Hierarchy Process.

Details

International Journal of Industrial Engineering and Operations Management, vol. 6 no. 1
Type: Research Article
ISSN: 2690-6090

Keywords

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