Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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    Horizontal logistics collaboration: an exploratory study in Morocco’s agri-food supply chains
    Badraoui, Ismail ; Vorst, Jack G.A.J. Van der; Boulaksil, Youssef - \ 2020
    International Journal of Logistics research and applications 23 (2020)1. - ISSN 1367-5567 - p. 85 - 102.
    agri-food supply chains - collaboration enablers - conceptual model - Horizontal logistics collaboration - Morocco

    Horizontal logistics collaboration (HLC) practices have gained much attention in recent years as innovative ways for companies to improve their performance. However, literature does not reveal which factors influence the success or failure of HLC, especially in agri-food supply chains (AFSCs) in developing countries. Therefore, this paper aims to investigate HLC in the context of AFSCs in Morocco as a case of a developing country. First, a literature review is performed to develop a conceptual model for HLC considering AFSCs characteristics. Then, in-depth case studies are conducted in Morocco to refine the conceptual model based on insights from real collaboration experiences. The results show that collaboration outcomes are influenced by operational collaborative activities through the mediation of relational elements. The operational collaborative activities are impacted by AFSCs’ characteristics, such as products specific handling conditions. Furthermore, the research shows that local cultural factors influence the development of trust in the relationship.

    La connaissance en action : le Centre de l’Innovation pour le Développement de Wageningen
    Vorst, Jack van der; Bruggeman, Hedwig - \ 2018
    Wageningen : Wageningen University and Research - 36 p.
    Technische Briefing Kringlooplandbouw; Notitie opgesteld op verzoek van de Tweede Kamer Commissie LNV : Wat mogen we verwachten van een circulaire voedselproductie gebaseerd op een kringlooplandbouw, in het perspectief van klimaat- en biodiversiteitdoelen?
    Scholten, M.C.T. ; Bianchi, F.J.J.A. ; Boer, I.J.M. de; Conijn, J.G. ; Dijkstra, J. ; Doorn, A.M. van; Ende, J.E. van den; Fresco, L.O. ; Jongschaap, R.E.E. ; Kernebeek, H.R.J. van; Lesschen, J.P. ; Olde, E.M. de; Schulte, Rogier ; Termeer, C.J.A.M. ; Vorst, J.G.A.J. van der; Vos, J.A. de; Woltjer, G.B. - \ 2018
    Wageningen University and Research - 14 p.
    "Actionable" critical success factors for supply chain information system implementations : Exploratory findings from four German pork supply chains
    Denolf, Janne M. ; Trienekens, Jacques H. ; Nel Wognum, P.M. ; Schütz, Verena ; Vorst, Jack G.A.J. Van Der; Onno Omta, S.W.F. - \ 2018
    International Journal on Food System Dynamics 9 (2018)1. - ISSN 1869-6945 - p. 79 - 100.
    Actionable csfs (actions) - Critical success factors - Food sector - Pork supply chains - Supply chain information systems
    Implementing a supply chain information system (SCIS) incurs organizational and technical complexities. For managing these complexities, information system researchers have identified generic critical success factors. However, CSFs are abstract and, therefore, difficult to use in practice. To maximize the chances of successfully implementing a SCIS in the food industry, we aim to identify "actions" linked to CSFs. We, consequently, investigated four German pork supply chains that implemented a SCIS. Fourteen critical success factors were made "actionable"; most actions were identified for the CSFs "manage change and deliver training" and "select standards, vendor, and software package", indicating their relative importance.
    Identification of determinants of postharvest losses in Zimbabwean tomato supply chains as basis for dedicated interventions
    Macheka, L. ; Spelt, E.J.H. ; Bakker, E.J. ; Vorst, J.G.A.J. van der; Luning, P.A. - \ 2018
    Food Control 87 (2018). - ISSN 0956-7135 - p. 135 - 144.
    Postharvest losses (PHL) are a major problem in tomato supply chains, especially in tropical climates, as up to 40% of harvested fruits are estimated to decay along the chain. The study aimed at identifying which farmers' context characteristics, logistics and quality control activities relate with the generation of PHL in tomato supply chains, particularly in Zimbabwe. Commercial and subsistence tomato farmers (n = 197) from five major tomato-growing areas were analysed using a diagnostic tool to assess the status of logistics and quality control activities, the vulnerability of farmers' context, and the actual PHL. Hierarchical cluster analysis resulted in three clusters of farmers grouped based on similarities on context vulnerability and status of logistics and quality control activities. Spearman's rank correlation analysis and multiple linear regression analyses revealed that more advanced logistics and control activities, and context characteristics with a lower vulnerability to PHL are associated with less postharvest losses. The context characteristics, features of storage facilities, features of cropping system, and market price stability were significant determinants (p < .05) and explained 29% (Adjusted R2 = 0.287) of the variation in the PHL. The logistics control activity, determining processing volumes was identified as a possible determinant (p < .05) and explained 21% (Adjusted R2 = 0.205) of the variation in the observed PHL. The quality control activities, deciding on maturity to harvest, deciding on moment to harvest, and storage practices were the identified determinants (p < .05), which explained 23% (Adjusted R2 = 0.230) of the variability in the observed postharvest losses. A framework of intervention strategies tailored to tomato farmers' development stage is proposed to support them in a step-wise improvement of logistics and quality control practices to reduce PHL and advance towards more advanced supply chains.
    Reducing CO2 emissions in temperature-controlled road transportation using the LDVRP model
    Stellingwerf, Helena M. ; Kanellopoulos, Argyris ; Vorst, Jack G.A.J. van der; Bloemhof, Jacqueline M. - \ 2018
    Transportation Research. Part D, Transport and Environment 58 (2018). - ISSN 1361-9209 - p. 80 - 93.
    Cold chain logistics - Emissions - Frozen food - Fuel consumption - Refrigerant leakage
    Temperature-controlled transport is needed to maintain the quality of products such as fresh and frozen foods and pharmaceuticals. Road transportation is responsible for a considerable part of global emissions. Temperature-controlled transportation exhausts even more emissions than ambient temperature transport because of the extra fuel requirements for cooling and because of leakage of refrigerant. The transportation sector is under pressure to improve both its environmental and economic performance. To explore opportunities to reach this goal, the Load-Dependent Vehicle Routing Problem (LDVRP) model has been developed to optimize routing decisions taking into account fuel consumption and emissions related to the load of the vehicle. However, this model does not take refrigeration related emissions into account. We therefore propose an extension of the LDVRP model to optimize routing decisions and to account for refrigeration emissions in temperature-controlled transportation systems. This extended LDVRP model is applied in a case study in the Dutch frozen food industry. We show that taking the emissions caused by refrigeration in road transportation can result in different optimal routes and speeds compared with the LDVRP model and the standard Vehicle Routing Problem model. Moreover, taking the emissions caused by refrigeration into account improves the estimation of emissions related to temperature-controlled transportation. This model can help to reduce emissions of temperature-controlled road transportation.
    Multi-criteria decision making approaches for green supply chains : a review
    Banasik, Aleksander ; Bloemhof-Ruwaard, Jacqueline M. ; Kanellopoulos, Argyris ; Claassen, G.D.H. ; Vorst, Jack G.A.J. van der - \ 2018
    Flexible Services and Manufacturing Journal 30 (2018)3. - ISSN 1936-6582 - p. 366 - 396.
    Eco-efficiency - Multi-criteria decision making - Quantitative methods - Resource efficiency - Supply chain management - Sustainable manufacturing

    Designing Green Supply Chains (GSCs) requires complex decision-support models that can deal with multiple dimensions of sustainability while taking into account specific characteristics of products and their supply chain. Multi-Criteria Decision Making (MCDM) approaches can be used to quantify trade-offs between economic, social, and environmental criteria i.e. to identify green production options. The aim of this paper is to review the use of MCDM approaches for designing efficient and effective GSCs. We develop a conceptual framework to find relevant publications and to categorise papers with respect to decision problems, indicators, and MCDM approaches. The analysis shows that (1) the use of MCDM approaches for designing GSCs is a rather new but emerging research field, (2) most of the publications focus on production and distribution problems, and there are only a few inventory models with environmental considerations, (3) the majority of papers assume all data to be deterministic, (4) little attention has been given to minimisation of waste, (5) numerous indicators are used to account for eco-efficiency, indicating the lack of standards. This study, therefore, identifies the need for more multi-criteria models for real-life GSCs, especially with inclusion of uncertainty in parameters that are associated with GSCs.

    Multi-objective decision-making for public health - dietary assessment and advice
    Lemmen-Gerdessen, J.C. van; Claassen, G.D.H. ; Veer, P. van 't; Vorst, J.G.A.J. van der - \ 2017
    - 4 p.
    Knowledge in action : Accelerated by Wageningen Centre for Development Innovation
    Vorst, Jack van der; Bruggeman, Hedwig - \ 2017
    Wageningen : Wageningen Centre for Development Innovation, Wageningen University & Research - 36
    Social Innovation for Value Creation, State of affairs, highlights
    During, R. ; Brouwers, J.H.A.M. ; Vorst, J.G.A.J. van der - \ 2017
    Logistics network design for perishable products with heterogeneous quality decay
    Keizer, Marlies de; Akkerman, Renzo ; Grunow, Martin ; Bloemhof-Ruwaard, Jacqueline ; Haijema, Rene ; Vorst, Jack G.A.J. van der - \ 2017
    European Journal of Operational Research 262 (2017)2. - ISSN 0377-2217 - p. 535 - 549.
    Customer order decoupling point - Distribution - Location - OR in agriculture - Postponement

    The duration of logistics operations, as well as the environmental conditions during these operations, significantly impact the performance of a logistics network for fresh agricultural products. When durations or temperatures increase, product quality decreases and more effort is required to deliver products in time and with the right quality. Different network designs lead to different durations and conditions of transport, storage, processing, etc. Therefore, when making network design decisions, consequences for lead time and product quality should be taken into account. As decay of perishable products, for instance food, is often not uniform, heterogeneity in product quality decay also has to be considered. The aim of this paper is to show how product quality decay as well as its heterogeneity can be integrated in a network design model. A new mixed integer linear programming formulation is presented, which positions stocks and allocates processes to maximise profit under quality constraints. It is applied to several test instances from the horticultural sector. Results show that different levels of decay lead to different network structures. Changing decay rates due to processing particularly affect the level of postponement. Heterogeneity in product quality causes a split in product flows with high and low product quality. All in all, it is shown that heterogeneous product quality decay should be taken into account in network design as it significantly influences network designs and their profitability, especially when the supply chain includes processes that change the level of decay, and product quality differences can be exploited in serving different markets.

    Exploration of logistics and quality control activities in view of context characteristics and postharvest losses in fresh produce chains : A case study for tomatoes
    Macheka, Lesley ; Spelt, Elsbeth ; Vorst, Jack G.A.J. van der; Luning, Pieternel A. - \ 2017
    Food Control 77 (2017). - ISSN 0956-7135 - p. 221 - 234.
    Context characteristics - Diagnostic tool - Fresh produce - Logistics control - Postharvest losses - Quality control
    Postharvest losses in fresh produce chains are a major threat to food security, especially in transition countries. To develop effective intervention strategies for postharvest losses reduction, it is important to first understand the core logistics and quality control activities that could affect postharvest losses in these chains. In this study, a diagnostic tool was developed and used to assess the implementation level of core logistics and quality control activities, the vulnerability of the system due to the context in which it operates, and the actual postharvest losses. Based upon a literature review, the context characteristics are divided into product, process, organisation, and supply chain environment characteristics to assess the context vulnerability to postharvest losses. The identified core logistics activities are planning on the amount of fresh produce to harvest and process, selecting issuing policies, selecting mode of transportation and type of vehicle, and vehicle scheduling and routing. Maturity determination at harvest, deciding on harvest moment, harvesting, packing, and storage practices, use of grading standards, package material, temperature monitoring during storage and transportation, and equipment maintenance are the core quality control activities identified. The tool was applied to three groups of farmers operating in a tomato supply chain in Zimbabwe. The major findings are that commercial farmers recorded lower postharvest losses (1%) as compared to subsistence farmers (3%), the context for commercial farmers is less vulnerable to the generation of postharvest losses as compared to that for subsistence farmers, and logistics and quality control activities for commercial farmers are implemented at a more advanced level. The tool provides differentiated assessment that allows users to identify improvement opportunities to achieve higher performance for the activities and to reduce context vulnerability.
    Closing loops in agricultural supply chains using multi-objective optimization : A case study of an industrial mushroom supply chain
    Banasik, Aleksander ; Kanellopoulos, Argyris ; Claassen, G.D.H. ; Bloemhof-Ruwaard, Jacqueline M. ; Vorst, Jack G.A.J. van der - \ 2017
    International Journal of Production Economics 183 (2017). - ISSN 0925-5273 - p. 409 - 420.
    Champignon production - Closed loop supply chain - Exergy - Linear programming - Multi-objective optimization

    Environmental concerns and scarcity of resources encourage decision makers in supply chains to consider alternative production options that include preventing the production of waste streams, and simultaneously reusing and recycling waste materials. Until now, hardly any quantitative modeling approaches exist in literature on closing loops in agri-food supply chains. In contrast to closed-loop studies in discrete parts industry, in agri-food supply chains the value of the final product itself cannot be regained. However, the components used for production such as organic matter or a growing medium, can be recycled. In this paper, the consequences of closing loops in a mushroom supply chain are revealed. We propose a multi-objective mixed integer linear programming model to quantify trade-offs between economic and environmental indicators and explore quantitatively alternative recycling technologies. The model was developed to re-design the logistical structure and close loops in the mushroom supply chain. We found that adopting closing loop technologies in industrial mushroom production has the potential to increase total profitability of the chain by almost 11% while the environmental performance improves by almost 28%. We conclude that a comprehensive evaluation of recycling technologies and re-designing logistical structures requires quantitative tools that optimize simultaneously managerial decisions at strategic and tactical level.

    Selecting food process designs from a supply chain perspective
    Jonkman, Jochem ; Bloemhof-Ruwaard, Jacqueline ; Vorst, Jack G.A.J. van der; Padt, Albert van der - \ 2017
    Journal of Food Engineering 195 (2017). - ISSN 0260-8774 - p. 52 - 60.
    Facility location - Food industry - Optimization - Process design - Product portfolio - Supply chain configuration

    The food industry can convert agro-materials into products using many alternative process designs. To remain competitive, companies have to select the design leading to the best supply chain performance. These designs differ in the technologies used and the product portfolio produced. Additionally, characteristics, such as seasonal production and quality decay of food products, lead to specific requirements regarding processing, transportation and storage. The importance of these characteristics of the food industry on process design selection is investigated using sugar beet processing as an illustrative case. The characteristics are included in a multi-period, multi-product location-allocation model. The model shows that a supply chain perspective leads to changes in process design selection. The design with the best portfolio value and processing costs does not lead to the best supply chain performance. This shows the importance of a chain perspective to avoid sub-optimization in food process design selection.

    Assessing alternative production options for eco-efficient food supply chains using multi-objective optimization
    Banasik, Aleksander ; Kanellopoulos, Argyris ; Claassen, G.D.H. ; Bloemhof-Ruwaard, Jacqueline M. ; Vorst, Jack G.A.J. van der - \ 2017
    Annals of Operations Research 250 (2017)2. - ISSN 0254-5330 - p. 341 - 362.
    Exergy - Food production - Multi-criteria decision making - Production planning - Sustainability

    Due to tremendous losses of resources in modern food supply chains, higher priority should be given to reducing food waste and environmental impacts of food production. In practice, multiple production options are available, but must be quantitatively assessed with respect to economic and environmental performances before they are adopted in food supply chains. The objective of this paper is to develop a mathematical model that can be used for such a quantitative assessment of alternative production options that are associated with different ways to deal with waste in food supply chains, i.e. prevention, recycling, and disposal of food waste. We develop a multi-objective mixed integer linear programming model to derive the set of eco-efficient solutions corresponding to production planning decisions. Environmental performance of the chain is expressed with an indicator based on exergy analysis, which has the potential to capture other commonly used indicators, such as energy consumption, fuel consumption, and waste generation, and express them in a single value. This simplifies the calculation of the eco-efficient frontier, and enables its intuitive graphical representation, which is much easier to communicate to the involved decision makers. The applicability of the developed model is demonstrated on a real-life industrial bread supply chain in the Netherlands. Results confirm the findings from literature that prevention is the best waste management strategy from environmental perspective. The advantages of using exergy as an indicator to capture the environmental performance is demonstrated by comparing the outcomes to other commonly used indicators of environmental performance. We illustrate the potential of studying food production planning decision problems in a multi-objective context, and demonstrate the applicability of the model in the assessment of alternative production options.

    Modeling a green inventory routing problem for perishable products with horizontal collaboration
    Soysal, M. ; Bloemhof-Ruwaard, J.M. ; Haijema, R. ; Vorst, J.G.A.J. van der - \ 2017
    Computers and Operations Research 89 (2017). - ISSN 0305-0548 - p. 168 - 182.
    Increasing concerns on energy use, emissions and food waste require advanced models for food logistics management. Our interest in this study is to analyse the benefits of horizontal collaboration related to perishability, energy use (CO2 emissions) from transportation operations and logistics costs in the Inventory Routing Problem (IRP) with multiple suppliers and customers by developing a decision support model that can address these concerns. The proposed model allows to analyse the benefits of horizontal collaboration in the IRP with respect to several Key Performance Indicators, i.e., emissions, driving time, total cost comprised of routing (fuel and wage cost), inventory and waste cost given an uncertain demand. A case study on the distribution operations of two suppliers, where the first supplier produces figs and the second supplier produces cherries, shows the applicability of the model to a real-life problem. The results show that horizontal collaboration among the suppliers contributes to the decrease of aggregated total cost and emissions in the logistics system. The obtained gains are sensitive to the changes in parameters such as supplier size or maximum product shelf life. According to experiments, the aggregated total cost benefit from cooperation varies in a range of about 4–24% and the aggregated total emission benefit varies in a range of about 8–33% compared to the case where horizontal collaboration does not exist.
    Framework for Designing Robust Supply Chains
    Vlajic, J.V. ; Vorst, J.G.A.J. van der; Haijema, R. - \ 2016
    In: Developments in Logistics and Supply Chain Management / Pawar, Kulwant S., Rogers, Helen, Potter, Andrew, Naim, Mohamed, Palgrave Macmillan - ISBN 9781349558483 - p. 13 - 26.
    Today’s business environment and harsh competitiveness force companies and entire supply chains to increase their efficiency as much as possible. As a consequence, supply chains have become highly sensitive to disruptions and less tolerant to deviations in operations, that is, supply chains have become more vulnerable (see Kleindorfer and Saad, 2005). Vulnerability of supply chains may result in less consistent supply chain performances, and consequently, their competitive power in the market may diminish. In order to maintain stability of supply chain performances, it is necessary to design robust supply chains. Robust supply chains should be able to continue to function well in the event of a disruption as well as in the normal business environment (see Dong, 2006; Tang, 2006; Waters, 2007). Generally, robustness of the supply chain depends on its capability to respond adequately to different kinds of risks of disturbances. Recently, supply chain vulnerability and robustness has become a hot research topic, and as such, it is still in its infancy. With this paper, we aim to contribute to the existing knowledge in these areas.
    A systematic approach to preventing chilled-food waste at the retail outlet
    Tromp, Seth Oscar ; Haijema, René ; Rijgersberg, Hajo ; Vorst, Jack G.A.J. van der - \ 2016
    International Journal of Production Economics 182 (2016). - ISSN 0925-5273 - p. 508 - 518.
    Food waste - Quality decay - Retail outlet - Shelf life - Simulation - Use-by date

    The objective of this paper is to develop a systematic overview of interventions for preventing chilled-food waste at retail outlets, and to assess the impact of these interventions for a particular case of fresh-cut iceberg lettuce at a Dutch retail outlet. The structure of the simulation model as presented in this paper is generic, hence suitable for other retailers and other chilled-food products as well. The generated systematic overview focusses on interventions that do not require a system change. A distinction is made into technical, logistical and marketing interventions. Model simulations show the effectiveness of these interventions. It is concluded that a number of ‘waste drivers’ exists, such as a low and varying consumer demand, high selection behaviour, the order lead time, a fixed order unit, and a short use-by date. The retailer can fine-tune the replenishment level of his order policy and the way of rounding to the given order unit, but by doing so he is at best able to exchange waste for out-of-stock or the other way around. The systematic overview of interventions is valuable input to future research on defining and estimating the effectiveness of combining interventions, and interventions that do require a system change.

    Defining and Analyzing Traceability Systems in Food Supply Chains
    Scholten, H. ; Verdouw, C.N. ; Beulens, A.J.M. ; Vorst, J.G.A.J. van der - \ 2016
    In: Advances in Food Traceability Techniques and Technologies / Espiñeira, M., Santaclara, F.J., Elsevier (Woodhead Publishing Series in Food Science, Technology and Nutrition ) - ISBN 9780081003107 - p. 9 - 33.
    Traceability is considered to be a vital issue for all stakeholders in food supply chains. The most important driver is the increasing societal need to guarantee food quality and provenance. Because consumers cannot know in detail what processing steps are executed in the production of food and what ingredients or resources are used in these steps, they want to be assured that food products are safe, healthy, sustainable, and of high and consistent quality. The need for guarantees is strengthened by the continuing sequence of food calamities, which have required massive product recalls, sometimes even on a European scale. Recent examples include the horse meat scandal and the Escherichia coli outbreak. The societal concern about food safety has resulted in a lot of legislation, including, for example, the obligation for traceability in the European General Food Law (Article 18). Food companies have to comply with consumers' demands and legislation. Moreover, they want to minimize costs and image damage when incidents occur. On the other hand, traceability optimizes business processes along the supply chain in order to improve efficiency and reduce lead times and food waste, among other things.
    On production planning and scheduling in food processing industry : Modelling non-triangular setups andproduct decay
    Claassen, G.D.H. ; Lemmen-Gerdessen, Joke van; Hendrix, E.M.T. ; Vorst, J.G.A.J. van der - \ 2016
    Computers and Operations Research 76 (2016). - ISSN 0305-0548 - p. 147 - 154.
    Food processing industry - Mixed integer programming - Non-triangular setups - Product decay - Sequence-dependent setups

    Production planning and scheduling in food processing industry (FPI) requires taking specific characteristics into account. First of all, setups are usually sequence-dependent and may include the so-called non-triangular setup conditions. Secondly, planning problems in FPI must take product decay into consideration. We present an MILP model that handles these characteristics. We study its behaviour and complexity and show that optimal production schedules become significantly different when non-triangular setups and product decay are taken into account. Numerical results are provided for medium size instances, including a comparison with a standard MP-based heuristic.

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