Modeling food logistics networks with emission considerations: the case of an international beef supply chain
Soysal, M. ; Bloemhof, J.M. ; Vorst, J.G.A.J. van der - \ 2014
International Journal of Production Economics 152 (2014). - ISSN 0925-5273 - p. 57 - 70.
life-cycle assessment - operations management - programming approach - green logistics - design - sustainability - challenges - inventory - quality - systems
Intrinsic characteristics of food products and processes along with growing sustainability concerns lead to the need for decision support tools that can integrate economic considerations with quality preservation and environmental protection in food supply chains. In this study, we develop a multi-objective linear programming (MOLP) model for a generic beef logistics network problem. The objectives of the model are (i) minimizing total logistics cost and (ii) minimizing total amount of greenhouse gas emissions from transportation operations. The model is solved with the ee-constraint method. This study breaks away from the literature on logistics network models by simultaneously considering transportation emissions (affected by road structure, vehicle and fuel types, weight loads of vehicles, traveled distances), return hauls and product perishability in a MOLP model. We present computational results and analysis based on an application of the model on a real-life international beef logistics chain operating in Nova Andradina, Mato Grosso do Sul, Brazil and exporting beef to the European Union. Trade-off relationships between multiple objectives are observed by the derived Pareto frontier that presents the cost of being sustainable from the point of reducing transportation emissions. The results from the pie chart analysis indicate the importance of distances between actors in terms of environmental impact. Moreover, sensitivity analysis on practically important parameters shows that export ports' capacities put pressure on the logistics system; decreasing fuel efficiency due to the bad infrastructure has negative effects on cost and emissions; and green tax incentives result in economic and environmental improvement.
Intermediate product selection and blending in the food processing industry
Kilic, Onur A. ; Akkerman, Renzo ; Donk, Dirk Pieter Van; Grunow, Martin - \ 2013
International Journal of Production Research 51 (2013)1. - ISSN 0020-7543 - p. 26 - 42.
operations management - production planning
This study addresses a capacitated intermediate product selection and blending problem typical for two-stage production systems in the food processing industry. The problem involves the selection of a set of intermediates and end-product recipes characterising how those selected intermediates are blended into end products to minimise the total operational costs under production and storage capacity limitations. A comprehensive mixed-integer linear model is developed for the problem. The model is applied on a data set collected from a real-life case. The trade-offs between capacity limitations and operational costs are analysed, and the effects of different types of cost parameters and capacity limitations on the selection of intermediates and end-product recipes are investigated.
Proactive environmental strategy in a supply chain context: the mediating role of investments
Akin, M. ; Bloemhof, J.M. ; Raaij, E.M. van; Wynstra, F. - \ 2012
International Journal of Production Research 50 (2012)4. - ISSN 0020-7543 - p. 1079 - 1095.
structural equation models - resource-based view - management-practices - manufacturing performance - operations management - impact - firm - technologies - capabilities - pls
There is a growing body of knowledge on the link between environmental management and supply chain management, but there is contradicting evidence on the impact of a proactive environmental strategy on environmental performance. Therefore, this paper investigates the impact of proactive environmental strategy on environmental performance as mediated by environmental investments. We also consider the antecedents of the adoption of proactive environmental strategy. We develop and test hypotheses, using data collected from 96 Turkish manufacturers through an online questionnaire. The model was tested using partial least squares (PLS), a structural equation modelling method. The results show that a proactive environmental strategy leads to higher environmental investments; both internally and externally in collaboration with suppliers. Our findings support our hypothesis that environmental investments act as a mediating variable between proactive environmental strategy and environmental performance. The results also show that customer pressure and, particularly, organisational commitment positively impact the extent to which firms adopt a proactive environmental strategy
A framework for modelling business processes in demand-driven supply chains
Verdouw, C.N. ; Beulens, A.J.M. ; Trienekens, J.H. ; Vorst, J.G.A.J. van der - \ 2011
Production Planning & Control 22 (2011)4. - ISSN 0953-7287 - p. 365 - 388.
operations management - information-systems - science research - design science - technology - organizations - opportunities - orientation - challenges - redesign
Demand-driven supply chains are highly dynamic networks of different participants with different allocations of business processes and different modes of control and coordination. Companies must be able to take part in multiple supply chain configurations concurrently and to switch rapidly to new or adjusted configurations. This imposes stringent demands on information systems and requires a modelling approach that (1) combines high-level models for supply chain design with detailed models for engineering the accompanying information systems and (2) enables rapid instantiation of specific supply chain configurations from a repository of standard building blocks. This article designs a process modelling framework that enhances such an approach. Building on the terminology and process definitions provided by the Supply Chain Operations Reference model, it models supply chain configurations as specific sets of transformations, control systems and coordination mechanisms. The designed modelling framework is applied in a case study in the Dutch flower industry.
Developing a decision-making framework for levels of logistics outsourcing in food supply chain networks
Hsiao, L. ; Vorst, J.G.A.J. van der; Kemp, R.G.M. ; Omta, S.W.F. - \ 2010
International Journal of Physical Distribution & Logistics Management 40 (2010)5. - ISSN 0960-0035 - p. 395 - 414.
or-buy decisions - transaction cost - operations management - firm - services - model - perspective - boundaries - knowledge - strategy
Purpose – The purpose of this paper is to present a decision-making framework for outsourcing levels of logistics activities. These are: execution level of basic activities (such as transportation, warehousing); value-added activities; planning and control level of activities (such as transportation and inventory management); and strategic decision-making level of activities (distribution network design). Design/methodology/approach – The research design comprises three stages. Literature review was undertaken to study outsourcing theories. Successively, case studies on three food manufacturers were conducted resulting in a framework for make-or-buy decision. Finally, an exploratory survey was undertaken to examine the determinant factors for outsourcing the different activities. Findings – Results indicate that logistics activities at different levels are outsourced for different reasons. Three main determinant factors are identified: asset specificity, core closeness and supply chain complexity. This implies that the evaluation of outsourcing different activities requires insights of three theories, namely transaction cost, resource-based and supply chain management theory. Research limitations/implications – The research and resulting framework are based on three small cases. Furthermore, there are few companies that outsource higher levels of activities, which limits the statistical assessment of the survey results. Practical implications – The framework can support the decision-making process for outsourcing different logistics activities in food industry. Originality/value – The key contribution of this paper is that it creates a comprehensive framework for outsourcing of both basic and advanced logistics activities specifically for the food industry.