Please select one answer statement per question

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* 1. Digital Supply Chain (DSC) governance: Strategy (a documented and published digital supply chain strategy that is adopted by the business and IT communities and sets a vision and roadmap for exploiting the organisation's manufacturing and service assets)

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* 2. DSC governance: Business case (DSC initiative(s) are evaluated against measures on financial targets, expectations and continued value delivery)

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* 3. DSC governance: Investment (the input a organization binds into realizing DSC business cases)

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* 4. DSC governance: Organisational design (the degree to which the roles, responsibilities, performance management and organisational hierarchy support the development of a DSC within the enterprise)

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* 5. DSC governance: C-level commitment (there is a champion for DSC at the executive level who can drive organisational change)

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* 6. DSC governance: Stakeholder management (key stakeholders are aligned on the DSC vision and in support of the journey to becoming digital in their supply chain)

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* 7. DSC governance: Regulation and compliance (there is a focus on securing enterprise data assets from any unauthorized infringement to ensure that appropriate data security and access policies, checks, and controls are monitored)

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* 8. DSC services: Business models (the way in which a company generates revenue and makes a profit from digital company operations incl. DSC)

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* 9. DSC services: Smart products (smart products are physical objects equipped with ICT so they are uniquely identifiable and can interact with their environment; they use sensor technology to record their environment and their own status and offer various add-on functionalities in operation)

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* 10. DSC services: Individualisation (being at the heart of most digital business models, individualisation drives supply chain complexity and asks for new, additional requirements)

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* 11. DSC services: Monetisation of data (data is recognized as a valuable asset for the organisation and a clear policy exists as to how it will be used to generate revenue or savings as well as what role DSC has to play)

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* 12. DSC services: Resilience (being capable to react to unforeseen changes such as pandemics, terror attacks, logistics infrastructure breakdowns, bio-catastrophes, etc.)

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* 13. DSC services: Service level agreements (the level of accountability DSC functions have to support, incl. availability, problem management, data and product quality, issue response times, etc.

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* 14. DSC services; Quality (the degree to which the organisation can trust the accuracy of DSC data and proactively drives toward ensuring data is fit for purpose)

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* 15. DSC sourcing: Customer and supplier integration (customers and suppliers are regularly informed about products and demand, respectively; their updates are enhanced by real-time data and are prioritised accordingly)

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* 16. DSC sourcing: Vendor portfolio (new disruptive technologies are incorporated in the IT strategy and sophisticated vendor management exists)

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* 17. DSC sourcing: Third-party management (the processes that manage the sourcing, evaluation, procurement, integration and maintenance of third party applications and services)

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* 18. DSC sourcing: Cloud strategy (the use of cloud-based DSC applications or processing power for performing digital business; under the cloud analytics service model, providers offer one or more key elements of the data analytics process through a subscription-based or utility /pay-per-use pricing model)

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* 19. DSC sourcing: Insight led decision making (the level to which DSC data is used across the network to inform decision making - as opposed to 'gut feel')

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* 20. DSC sourcing: Scouting (an information model which takes advantage of internal and external data sources that are easily accessible and structured in a way which will support the creation of trustworthy insights)

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* 21. DSC sourcing: Ventures (processes are in place to initiate, manage, maintain, and exploit ventures with start-ups)

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* 22. DSC processes: Operating model (an DSC target operating model or TOM has been tailored to the needs of the organisation and is supported by expert governance)

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* 23. DSC processes: Segmentation (the way products as well as supply chain processes associated are clustered towards supply chain models, e.g. Make-to-Order and Make-to-Stock, including consistent operating rules per cluster)

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* 24. DSC processes: Innovation (a culture of continuous DSC innovation is embedded into the organisation, enabling it adapt to market changes)

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* 25. DSC processes: Cross functional alignment (the frequency of discussions and completeness of shared DSC vision held between functional area process owners and DSC team)

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* 26. DSC processes: Knowledge management (there is a central DSC knowledge management repository and it is used to provide resources with insight across the organisation)

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* 27. DSC processes: Usage (the level of automation, efficiency and integration of DSC data management processes that support insights and analytics)

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* 28. DSC processes: Autonomy (it describes processes which are guided by machines or products without the interference of labour force; the more steps within a process are sequenced after each other autonomously the higher the degree of autonomy)

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* 29. DSC processes: Smart machines (machines that have interfaces for communicating with other machines and communicate with people by means of enhanced semantics and/or sensors)

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* 30. DSC processes: System support (a combination of IT systems that facilitate planning, coordination, control and decision making in an organisation)

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* 31. DSC processes: Interfaces (this is a perquisite to build cyber-physical systems; various instances have to be connected from sensors to electronic devices, vehicles, shop floor employees, machines, (semi-finished) products, suppliers, customers, data centres and operations supervisors)

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* 32. DSC processes: Digital twin (a digital model is composed of DSC-related data supplemented by transaction data, geo positioning data, and other data)

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* 33. DSC processes: Agility and scalability (the DSC operating model is designed to handle increased or decreased demand for services)

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* 34. DSC processes: Process design (end-to-end enterprise processes evolve and mature through the use of insights gained from specific projects

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* 35. DSC processes: Benefits realisation (the degree to which key goals and objectives of the network have been defined in a well communicated set of KPIs that can be tracked, measured, evaluated and refined, e.g. cost to serve, customer value scores, etc.)

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* 36. DSC systems: Reference architecture (the level of sophistication of both the physical hardware and software is required to support digital development and to ease the quick and effective adaptation of tools, respectively)

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* 37. DSC systems: Accessibility & usability (the ease with which data can be accessed and used by users to enable business decision-making)

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* 38. DSC systems: Flow model (how is data acquired to produce advanced supply chain analytics models)

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* 39. DSC systems: Standardisation (the extent to which standardised data models and definitions are used and commonly understood)

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* 40. DSC systems: Analytics (DSC analytics is the backbone of the DSC transformation revealing trends/anomalies that alter decisions regarding reliability, technical operations, quality, safety, predictive maintenance, etc.)

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* 41. DSC systems: Business intelligence (enabling the DSC organisation to build BI applications by providing capabilities in three categories: analysis, such as online analytical processing; information delivery, such as reports and dashboards and; platform integration, such as BI metadata management and a development environment)

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* 42. DSC systems: Discovery zone (software and solution testing is conducted outside the production environment in especially designed sandbox/es)

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* 43. DSC systems: Analytical tools (the degree of sophistication of data and business intelligence tools, how widespread they are used within the organisation, how integrated they are into operational processes and the governance and quality control applied to both tools and data

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* 44. DSC systems: Data discovery tools (the core analytics tools and capabilities used by the enterprise to support BI)

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* 45. DSC systems: Data visualisation (the level of sophistication and standardisation in presenting DSC tools using visual applications and technology)

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* 46. DSC systems: BI accessibility (the degree of accessibility of and extent to which BI tools meet the business requirements)

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* 47. DSC systems: Cognitive applications (he use of technology systems that employ machine learning or natural language processing to generate hypotheses, drawing from a wide variety of potentially relevant information and connections allowing us to process and understand big data in real time, undaunted by exploding volumes of data or wild fluctuations in form, structure, and quality)

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* 48. DSC systems: Reliability and continuity (DSC IT systems are stable and can support additional capacity without affecting performance)

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* 49. DSC systems: Security (the practice of defending DSC information from unauthorized access, use, disclosure, disruption, modification, inspection, recording or destruction)

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* 50. DSC systems: Tools (the degree of sophistication of DSC tools, how widespread they are used within the DSC organisation, how integrated they are into operational processes and the governance and quality control applied to both tools and data)

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* 51. DSC leadership: Upskilling (he organisation has the right mix of technical, analysis, communication, and business skills to deliver end-to-end DSC processes)

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* 52. DSC leadership: Cultural change (a change management journey has been planned to support the transition into a DSC organisation and data-driven decision making forms a key part of the organisation's culture)

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* 53. DSC leadership: Workplace (it entails the flexibility of both the DSC employer as well as the employees with regard to work environment and the possibility to connect to the firm if wanted anywhere)

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* 54. DSC leadership: Ethics and sharing (the policies surrounding the way that customer and employee data will be used have been formalized, shared, and accepted by DSC individuals)

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* 55. DSC leadership: Formal communication & awareness (how well are digital activities communicated to the key stakeholders and IT communities made aware of the value and benefits of DSC)

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* 56. Please provide your email:

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* 57. Please provide your company name:

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* 58. Please provide your first name:

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* 59. Please provide your family name:

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