Business Process Modelling in Demand‐Driven Agri‐Food Supply Chains

Agri ‐food companies increasingly participate in demand‐driven supply chains that are able to adapt flexibly to changes in the marketplace. The objective of this presentation is to discuss a process modelling framework, which enhances the interoperability and agility of information systems as required in such dynamic supply chains. The designed framework consists of two parts: an object system definition and a modelling toolbox. The object system definition provides a conceptual definition of business process in demand‐driven supply chains from a systems perspective. It includes an application of the Viable Systems Model of Stafford Beer to supply chains, and classifications of business processes, control systems and coordination mechanisms. The modelling toolbox builds on the terminology and process definitions of SCOR and identifies three types of process models: i) Product Flow Models: visualize the allocation of basic transformations to supply chain actors and the related product flows from input material into end products (including different traceability units based on the GS1 Global Traceability Standard); ii) Thread Diagrams: visualize how order driven and forecast driven processes are decoupled in specific supply chain configurations (positions Customer Order Decoupling Points), and how interdependences between processes are coordinated; iii) Business Process Diagrams: depict the sequence and interaction of control and coordination activities (as identified in Thread Diagrams) in BPMN notation. The framework is applied to several agrifood sectors, in particular potted plants and fruit supply chains. The main benefits are: i) It helps to map supply chain processes, including its control and coordination, in a timely, punctual and coherent way; ii) It supports a seamless translation of high level supply chain designs to detailed information engineering models; iii) It enables rapid instantiation of various supply chain configurations (instead of dictating a single blueprint); iv) It combines sector specific knowledge with reuse of knowledge provided by generic cross industry standards (SCOR, GS1)

Strategieën voor een datagedreven fruitteelt : Rapport Fruit 4.0 over datamanagement

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Systems architecture design pattern catalog for developing digital twins

A digital twin is a digital replica of a physical entity to which it is remotely connected. A digital twin can provide a rich representation of the corresponding physical entity and enables sophisticated control for various purposes. Although the concept of the digital twin is largely known, designing digital twins based systems has not yet been fully explored. In practice, digital twins can be applied in different ways leading to different architectural designs. To guide the architecture design process, we provide a pattern-oriented approach for architecting digital twinbased Internet of Things (IoT) systems. To this end, we propose a catalog of digital twin architecture design patterns that can be reused in the broad context of systems engineering. The patterns are described using the well-known documentation template and support the various phases in the systems engineering life cycle process. For illustrating the application of digital twin patterns, we adopt a case study in the agriculture and food domain.</p

Virtualization of food supply chains with the internet of things

-Internet technologies allow supply chains using virtualizations dynamically in operational management processes. This will improve support for food companies in dealing with perishable products, unpredictable supply variations and stringent food safety and sustainability requirements. Virtualization enables supply chain actors to monitor, control, plan and optimize business processes remotely and in real-time through the Internet, based on virtual objects instead of observation on-site. This paper analyses the concept of virtual food supply chains from an Internet of Things perspective and proposes an architecture to implement enabling information systems. As a proof of concept, the architecture is applied to a case study of a fish supply chain. These developments are expected to establish a basis for virtual supply chain optimization, simulation and decision support based on on-line operational data. In the Internet of Things food supply chains can become self-adaptive systems in which smart objects operate, decide and learn autonomously

Digital Twins in greenhouse horticulture: A review

Digital Twins can be considered as a new phase in smart and data-driven greenhouse horticulture. A Digital Twin is a digital equivalent to a real-life object of which it mirrors its behaviour and states over its lifetime in a virtual space. Research indicates that they can substantially enhance productivity and sustainability, and are able to deal with the increasing scarcity of green labour in greenhouse horticulture. This paper presents the results of a systematic literature review on Digital Twin applications in greenhouse horticulture. The review identifies 8 articles that explicitly address Digital Twins in greenhouse horticulture and 115 studies that implicitly apply the Digital Twin concept in smart IoT-based systems. Findings indicate that the concept of the Digital Twin is in a seminal phase in greenhouse horticulture, but there are existing applications that are not yet framed as Digital Twins. In the reviewed papers, there is a dominant focus on the cultivation process at the greenhouse level, among others for climate control, energy management and lighting. About 9% of the articles are virtualizing plants themselves, which indicates that the granularity level addressed is still rather limited. Only 7 % of the articles look beyond plants or single greenhouses. None of the reviewed articles consider the company level. Furthermore, most applications address monitoring and control of the state and behaviour of real-life objects. More advanced applications, including predictive and prescriptive capabilities across the complete lifecycle, are still in an early stage of development, although predictive Digital Twins are gaining prominence

Integration of Production Control and Enterprise Management Systems in Horticulture

Abstract. Production processes in horticulture are increasingly industrialized. Greenhouses have developed towards high-tech production plants that are highly automated by advanced systems for climate control, irrigation, crop monitoring, harvesting, internal transportation, sorting and packaging. At the same time, horticultural production nowadays is a complex managerial task, which needs advanced management information. However, this information is often registered manually in enterprise management systems. This paper aims to contribute to a better integration of production automation systems and enterprise management systems in the Dutch horticulture. It investigates the current situation and existing related standards . Moreover, the paper identifies barriers for the adoption of integration solutions, including the economic situation, a decrease of the high-end market, a low willingness to cooperate, a relative low scale of growers, a high perceived complexity and path dependency, a negative perception of the relative advantage and a limited willingness of growers to invest

What Blockchain Are We Talking About? An Analytical Framework for Understanding Blockchain Applications in Agriculture and Food

With the many promises it holds in addressing problems concerning information exchange and digital transactions in multi-actor processes, blockchain technology (BCT) has gained considerable traction in the agrifood sector. Governments, international organisations, private companies, consortia of public and private actors are launching various blockchain projects for improving transparency, traceability, and many other key issues in the agrifood sector. This has resulted in a large number of use cases. It is often unclear, however, what and how technical, social and economic aspects were considered in different usecases. Due to the novelty and elusiveness of the technology, there is no ready-to-use analytical framework or guideline yet for assessing its applicability and choosing the right technical and organisational setup. As a result, many stakeholders have to grope in the dark when designing and implementing their “blockchain application.” Based on studies of use cases worldwide and experiences in organizing different blockchain pilots in the Netherlands, this paper seeks to address this problem by providing an overview of the choices to be made at three layers of a blockchain application: the ledger, the governance structure and the ecosystem. This can serve as a reference framework for understanding different blockchain applications and choosing key parameters for new use cases in the agrifood sector. It is expected that such demystification of the blockchain will contribute to more realistic and effective application of the technology to pressing problems in agriculture and food

Analyzing and designing business processes in the Ghana cocoa supply chain for supporting inclusiveness

Ghana produces 20% of global cocoa output and is the second-largest producer and exporter of cocoa beans in the world. The Ghana cocoa industry is, however, challenged by a lack of adequate decision support systems across the supply chain. Particularly, cocoa farmers have limited access to information, which impedes planning, pricing, benchmarking, and quality management. In order to address this asymmetric access to information and ensure fair access to information that will allow the making of informed decisions, the supply chain stakeholders need to adapt their business processes. For identifying the requirements for better information flow, we identified the existing (as-is) processes through a systematic survey study in Ghana. We then identified the main problems and bottlenecks, designed new (to-be) business processes, and showed how IT systems support and enable inclusive business models in the Ghana cocoa industry. To enable inclusiveness, we incorporated IT solutions that improve information flows towards cocoa farmers. The results show that there are many opportunities (e.g., improving farmer livelihoods and a potential increase in export earnings) in the cocoa sector for Ghana and all stakeholders that can be utilized when there is chain-wide collaboration, equitable access to services, and proper use of IT systems

Digital twins in smart farming

Digital Twins are very promising to bring smart farming to new levels of farming productivity and sustainability. A Digital Twin is a digital equivalent of a real-life object of which it mirrors its behaviour and states over its lifetime in a virtual space. Using Digital Twins as a central means for farm management enables the decoupling of physical flows from its planning and control. As a consequence, farmers can manage operations remotely based on (near) real-time digital information instead of having to rely on direct observation and manual tasks on-site. This allows them to act immediately in case of (expected) deviations and to simulate effects of interventions based on real-life data. This paper analyses how Digital Twins can advance smart farming. It defines the concept, develops a typology of different types of Digital Twins, and proposes a conceptual framework for designing and implementing Digital Twins. The framework comprises a control model based on a general systems approach and an implementation model for Digital Twin systems based on the Internet of Things—Architecture (IoT-A), a reference architecture for IoT systems. The framework is applied to and validated in five smart farming use cases of the European IoF2020 project, focussing on arable farming, dairy farming, greenhouse horticulture, organic vegetable farming and livestock farming.</p

AGRI-FOOD LIVING LAB: THE VIRTUAL MEETING PLACE FOR OPEN INNOVATION ON FARM INFORMATION MANAGEMENT AND ICT DEVELOPMENT

Abstract Information exchange is a crucial factor in modern far