Sustainable Supply Chain Management In The UK: How IoT Is Transforming Manufacturing Industry

Impact of Internet of Things over the Business performance

Internet of Things or the IoT can be considered as a promising technology which can help in tackling of problems which are faced by the organization Shape Nz Limited. Shape Nz Limited is a manufacturing company which is facing few problems. The use of IoT on the manufacturing company has various impacts. The use of IoT technology that mainly includes the inter-reliability of the sensors, equipment’s, machines, lines, processing units, plants, materials, containers, transportation, buildings, computers, software and many more. The use of technology has greatly helped in the achieving of results which are innovative and are also responsible for driving the value in the manufacturing process. The use of IoT has been responsible for disrupting various industries but it is the manufacturing industry which are getting the major benefits.

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Supply chain management is a systematic approach that is adapted in order to manage the distribution of goods from producers of raw materials, through manufacturers and eventually down to end users. Supply chain management affects manufacturing companies in a variety of ways, including the availability of inputs needed for production processes, costs and profitability of manufactured items, company infrastructure and ways in which companies interact with their suppliers and customers. Understanding the ways that supply chain management affects manufacturers from both a daily operational perspective and a strategic viewpoint is important for all managers and entrepreneurs in the industry.

The different ways by which the manufacturing industry is evolving by making use of the IoT mainly involves the following:

The manufacturing industry needs to have a clear view about the resources that are needed along with the performance of the equipment’s and the various security threats. The use of IoT would be helping in the development of dashboards which would be associated with showing the various kind of details which might include the details of the plant environment, safety along with the efficiency and the return on the assets.

The integrated production system is very critical for any manufacturing plant. I case if the manufactures are located at geographically dispersed locations then the IoT would be greatly helping in the shortening of the lead times. In order to make the information flow further at a faster rate along with enhanced market responsiveness and quick making of decisions would be helping the manufacturers in increasing the Internal Protocol network technology which is associated with creating connection with the enterprise location assisted by the device-level production data on a real-time basis.

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Social

The visibility to the supply chain is very much essential as well as challenging. The application of the IoT on the manufacturing industry would be ensuring a real-time visibility to the processes related to manufacturing.

The collection of the data by different kind of sensors and machines are very much helpful in the analysis and application of the data. Assisted by the cloud the flexibility and the efficiency is also increased during the collection and storage of the data.

The bridging of the gap that exists between the manufacturing and the enterprise networks is also done by making use of the IoT. The deployment of the intelligent network greatly helps the manufacturing organization. This greatly helps in the reduction of downtime and this is done by enabling the remote access to the systems as well as to the partners. Along with this it also helps in delivering precision, reliability and resilience from the floor of the manufacturing plant to the enterprises.

There exists many cases where it is seen that the manufacturing plants are lacking the capability of providing notifications on a real-time basis relating to the failure of the equipment’s. The open standards are associated with allowing them to tap the sensor-level networks and by this the detecting of the malfunctions become much quick in order to craft the high levels of the overall effectiveness of the equipment’s.

The regular maintenance at a regular basis acts as a key factor in smoothing the functioning of the plants. The planned outages that are responsible for the maintenance and the repairing of the equipment’s would be helping the company in making better deal during time of emergencies. The adaptation of this type of approach is unproblematic as there is no need of maintenance for all the equipment’s at the same time and according to the same schedule. The industrial IoT has been helping the company to adopt a more proactive model related to the predictive maintenance. The industrial IoT is associated with providing a real-time monitoring of the various machineries along with the health of the devices. This initially enables the company to schedule the maintenance when there is a need by the machine and not as an arbitrary schedule.

The comparing of the efficiency with the quality of the product across various facilities was very much challenging in the past but by making use of the IoT the manufacturing company has been capable of collecting the data along with analyzing the data from different kind of facilities. This helps a lot in making better decisions regarding the quality, operational, efficiency and many more.

Economic

The Industrial use of IoT mainly involves the communication between the machines without any interference from the humans. This is generally associated with extending the scope related to the manufacturing by making use of the IoT and this has been adopted in order to increase the production and to boost up the efficiency and also for the purpose of improving the quality and consistency of the products.

Along with this the use of the Low-cost cloud computing along with the wired and wireless and communication and systems of the chips for the purpose of embedded computing would be fueling the IoT revolution.

The manufacturer would be capable of moving heavily towards the individualization along with mass communication which is a part of the luxurious products which are connected to the network. For the purpose of enabling this there is a need of maintaining the alignment with the supply management along with the logistic functions and the partners in order to make sure that all the levels of service are maintained.

This is one of the most popular features that is built into supply chain management software this is the functionality which is associated with the providing of timely information related to shipping. The manufacturing companies consist of a large-volume supply chains, and has many different types of cargo which are shipped to the customers all around the country or around the world. The Digital alert as well as the update features helps in making the shipping process transparent, along with helping in the tracking of the logistics for the stakeholders.

This is another type of supply chain management technology which is associated with working with the supplies during intake. Processing of the Order helps the companies in better understanding of what’s happening when the deliveries of various type of products are received. The Order processing tools mainly include various types of metrics and identifiers in order to help the business analyze the intake, which is considered as one of the many steps related to the ensuring of on-time delivery to the customers.

The lean inventory tool which is also known as just-in-time inventory can be considered as the new and emerging tool which is associated with carrying of certain kinds of supply chain management. The idea of this tool mainly includes the whenever needed immediately and this is generally based on current and projected customer demand. The main goal of this practice is for the purpose of optimizing the inventory planning and this is mainly done by cutting down on warehousing space, inventory costs and the different procedures related to storing of excess inventory.  Lean inventory tools is also associated with providing a quite a bit of return on investment made on the business, while decreasing the need for real estate and streamlining their labor force.

Environmental

In many cases it is seen that the supply chain management tools is associated with helping the manufacturing company is managing the warehouse’s day-to-day inventory operations. But the reality which lies behind is that with the comprehensive design of supply chain management software, vendors have helped in the warehouse management, including supply chain performance tools and tools for evaluating the condition of inventory materials.

Associated with the various shipping features, supply chain management tools can also be helpful in incorporating various types of industry-specific freight handling functionality.

Cost can be considered as another major area of supply chain operations. Sophisticated supply chain management tools can be very helpful in the dig down followed by the taking of a granular look at what the spending on each item are being made and send out during production. These tools is also associated with assisting the manufacturing company in evaluating the bids that are received from different suppliers and this helps in spotting the opportunities for improvement.

Besides the assistive features for cost issues, supply chain management tools are also associated with helping the business in getting a better understanding of how all this are related to the suppliers. Supplier management tools is also associated with showing the history of the business partnership and how it would be affecting the supply chain. They are also capable of showing the level of value and quality that each of the supplier is associated with bringing to the process.

Supplier performance reports is one of the example of a feature built into supply chain management tools which is associated with showing the way by which a given supplier makes contribution to the business model. By having this information in hand, the decision makers are capable of acting in a more confident way in order to make changes or to manage the supplier relationships.

This is another tool which is associated with working on the predictive model. This tool helps in the anticipation of the customers’ demand for the purpose of speeding up or to slow down the supply chain processes. In many situations the demand forecasting acts as a part of a supply chain management software dashboard. This feature is associated with allowing the management of the supply chain processes in a much more modern way.

Previous the industry, simply guessed the amount of supply chain product they is needed, oftentimes holding onto large amounts of production materials that took up unnecessary space. Demand forecasting and related planning resources is associated with helping the manufacturing company in achieving a cost savings and business process improvements through more accurate planning.

The moving of the manufacturing companies at a rapid rate

Along with the modern supply chain management tools, it’s also possible for manufacturing company and the suppliers to work together with the supply chain processes. This is very valuable for the stakeholders, as this can help in the elimination of many different challenges, which includes the communications issues, bottlenecks in requisition and ordering, etc. by having the self-service Internet portals, the manufacturing company is capable of authorizing the suppliers to do certain kinds of documentation and to automate the parts of the ordering process.

This can be considered as an another element of the SCM software which is mainly focused upon the security. The manufacturing company also have to think about what types of data can act as a sensitive one.

The manufacturing company might be having certain compliance responsibilities. Compliance tools are mainly built with the responsibilities in mind. Again, with product-centered businesses, compliance may be related to cold chain storage or other handling requirements. With other businesses, it may be related to financial data and customer identifiers. Either way, compliance tools help to maintain compliance standards.

Audit tools is associated with helping the outsiders to get involved in the business and this is done by taking a look at the operations. These SCM features acts a very useful process in the eDiscovery and also for other situations which also includes the legal challenges.

End-to-end visibility across supply chains is complicated by the number of parties involved in global supply chains. While companies collect their own data to respond to supply chain disruptions, they need to be able to analyze data across various companies and validate it for reliability before they can respond. IoT devices that can track the status of goods as they move through the supply chain and share this information to a blockchain-based framework can ensure that all of the participants in the chain can access the data in real time.

All of this would be done via a combination of IoT-based statuses published to a secure distributed block chain. These could also be combined with third-party data sources, such as weather data streams, to anticipate any delays. A supply chain with real-time access to shared, reliable data in a secure block chain allows companies to be responsive to unexpected supply chain events such as supply disruption or a sudden dip in customer demand.

Global supply chains typically involve cross-border transactions, which require voluminous paperwork and bureaucracy. All of this has a significant impact on the time it takes for international payments, because these involve multiple parties and are subject to local banking regulations. Any discrepancies, such as duplicate invoices, can lead to significant delays in clearing the payments. Blockchain and IoT working together could significantly speed up the movement of goods across borders, resulting in secure, efficient, and cheaper transactions that prevent fraud through a distributed register that cannot be manipulated.

Supply management tools and techniques

This is facilitated in block chain using smart contracts, which are computer programs where the terms of an agreement between two parties can be preprogrammed, automatically executed, and enforced based on the occurrence of defined events. Smart contracts eliminate the need to reconcile documents across multiple parties. With IoT devices that can monitor the actual status of the shipments and trigger the execution of the payment terms of the contract upon delivery, the banks have visibility into the original contract, the sales order, and the actual delivery status. This allows them to validate the origin and authenticity at the same time and speed up the payment cycle.

In highly regulated industries such as manufacturing, goods need to be transported across locations under strictly controlled environment and within specific time windows. It is important for manufacturers and distributors in these industries to be able to provide evidence of adherence to specified ranges. Failure to do so can result in high-value shipments being delayed or impounded for investigation. It’s currently possible to capture temperature feeds from onboard sensors and transmit them online to an IoT platform. What has been missing is the ability to ensure that the captured, transmitted data is secure and tamperproof. A block chain framework complements an IoT-based data feed to guarantee the reliability and security of information received and captured. Such a combination also would enable suppliers to capture compliance conditions in a smart contract. In this case, the actual temperature feeds during the journey could be compared against the defined conditions in the contract to demonstrate compliance as well as any exceptions.

Ensuring a tamperproof, reliable data chain for medicinal products and perishable goods can allow manufacturers and suppliers to ensure they are compliant with regulations and avoid losses due to delays for investigations, while at the same time addressing the safety of humans consuming these products.

Block chain and IoT allow for all the partners and things in a supply chain ecosystem to share data securely. Stakeholders can use the latest machine-learning techniques on this holistic dataset, often in combination with third-party data sources, to derive new insights across their supply chains.

For example, manufacturers can gain the ability to share and access real-time data from all partners such as suppliers, logistics providers, and contractors on a single secure platform, and combine it with economic and climate trend data across the network. This could enable them to make better decisions on realigning their sourcing and distribution networks. At the same time, the partners are able to utilize data to visualize their role and impact on the overall supply chain and make improvements designed to improve their competitiveness.

Block chain and IoT can come together to address some of the key issues faced by supply chains today and unlock real value for enterprises. Both IoT and block chain are gaining traction in their own right, and this trend will likely accelerate into production as the technologies mature.

Reverse logistics refer to monitoring the life-cycle of your products after they arrive at the end consumer. This could include how your product could potentially be reused, how it should be properly disposed of after use, and any other way where your expired product can create value.

There are four key supply chain analytics that can help you understand the flow of returned products entering your supply chain. They are as follows:

  1. Volume. Are the same items being returned over and over? Is this happening in large volumes? Answer yes to either of these questions and you’ve probably got a larger problem than just a few faulty units. You may need to consider a recall or an overhaul of your production process.
  2. Percent of Sales.What percentage of your sales are lost to product returns? And how many of these products can be reincorporated into your supply chain via reverse logistics?. What can you do to minimize these losses of revenue? How can you turn a profit on a loose?
  3. Condition the Product is Returned In.Is the product failing after a specific operation? Can you determine any patterns of failure among the returned product? This is where quality assurance (QA) and error reproduction are important. You want to figure out what went wrong so you can adapt and correct the problem before it happens again.
  4. Financial Value.Without monitoring and managing your reverse logistics, your company could be losing millions of dollars in potential value. Consider failed electronics that are returned to their manufacturer. According to “Recovering Lost Profits by Improving Reverse Logistics,” electronics sold in secondary-markets “represent an estimated $15 billion (sold) in the United States.” These electronic companies manage to turn product failure into new profits by utilizing reverse logistics.
  • Reduction of the  costs.By planning ahead for returns and making the return order right, you can reduce related costs (administration, shipping, transportation, tech support, QA, etc.)
  • Faster rate of service.This refers to the original shipping of goods and the return / reimbursement of goods. Quickly refunding or replacing goods can help restore a customer’s faith in a brand.
  • Retention  of Customer.Dealing with errors is just as important as making sales. If a customer had a bad experience with your product, you have to make it right. Fulfilment blunders can create educational opportunities. Learn how to keep your customers happy and engaged with your company – even after you’ve made a mistake.
  • Reduced losses and unplanned profits. Recover the loss of investment in your failed product by fixing and restocking the unit, scrapping it for parts, or repurposing it in a secondary market. With a good reverse logistics program in place, you don’t have to leave money on the table. Take a product that would otherwise just cost your company money and turn it into an unforeseen asset.

Conclusion:

The report helps in concluding to the fact that the IoT can be adopted by the business for the purpose of eliminating different type of difficulties that are faced by Shape Nz Limited. The first section of the report is associated with discussing about the effects of the IoT on the various business process of Shape Nz Limited. The second section of the report is associated with discussing about the supply chain management tools and techniques. The role of IoT, reverse logistics and block chain over the business process of the Shape Nz Limited has also been discussed. By adaptation of proper ways the organization Shape Nz Limited can become successful in their business. the adaptation of new and emerging internet of thing technology the organization Shape Nz Limited would be gaining a lot of benefits and the supply chain management would become much more easy.

References:

Ahi, P., & Searcy, C. (2013). A comparative literature analysis of definitions for green and sustainable supply chain management. Journal of cleaner production, 52, 329-341.

Ashby, A., Leat, M., & Hudson-Smith, M. (2012). Making connections: a review of supply chain management and sustainability literature. Supply Chain Management: An International Journal, 17(5), 497-516.

Barney, J. B. (2012). Purchasing, supply chain management and sustained competitive advantage: The relevance of resource?based theory. Journal of supply chain management, 48(2), 3-6.

Beske, P., Land, A., & Seuring, S. (2014). Sustainable supply chain management practices and dynamic capabilities in the food industry: A critical analysis of the literature. International Journal of Production Economics, 152, 131-143.

Brandenburg, M., Govindan, K., Sarkis, J., & Seuring, S. (2014). Quantitative models for sustainable supply chain management: Developments and directions. European Journal of Operational Research, 233(2), 299-312.

Christopher, M. (2016). Logistics & supply chain management. Pearson UK.

Dekker, R., Fleischmann, M., Inderfurth, K., & van Wassenhove, L. N. (Eds.). (2013). Reverse logistics: quantitative models for closed-loop supply chains. Springer Science & Business Media.

Govindan, K., Kaliyan, M., Kannan, D., & Haq, A. N. (2014). Barriers analysis for green supply chain management implementation in Indian industries using analytic hierarchy process. International Journal of Production Economics, 147, 555-568.

Green Jr, K. W., Zelbst, P. J., Meacham, J., & Bhadauria, V. S. (2012). Green supply chain management practices: impact on performance. Supply Chain Management: An International Journal, 17(3), 290-305.

Hazen, B. T., Boone, C. A., Ezell, J. D., & Jones-Farmer, L. A. (2014). Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications. International Journal of Production Economics, 154, 72-80.

Hsu, C. W., Kuo, T. C., Chen, S. H., & Hu, A. H. (2013). Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management. Journal of cleaner production, 56, 164-172.

Hugos, M. H. (2018). Essentials of supply chain management. John Wiley & Sons.

Jacobs, F. R., Chase, R. B., & Lummus, R. R. (2014). Operations and supply chain management (pp. 533-535). New York, NY: McGraw-Hill/Irwin.

Lin, R. J. (2013). Using fuzzy DEMATEL to evaluate the green supply chain management practices. Journal of Cleaner Production, 40, 32-39.

Mangan, J., Lalwani, C., & Lalwani, C. L. (2016). Global logistics and supply chain management. John Wiley & Sons.

Monczka, R. M., Handfield, R. B., Giunipero, L. C., & Patterson, J. L. (2015). Purchasing and supply chain management. Cengage Learning.

Myerson, P. (2012). Lean supply chain and logistics management. New York: McGraw-Hill.

Pagell, M., & Shevchenko, A. (2014). Why research in sustainable supply chain management should have no future. Journal of supply chain management, 50(1), 44-55.

Ross, D. F. (2013). Competing through supply chain management: creating market-winning strategies through supply chain partnerships. Springer Science & Business Media.

Sarkis, J. (2012). A boundaries and flows perspective of green supply chain management. Supply chain management: an international journal, 17(2), 202-216.

Seuring, S. (2013). A review of modeling approaches for sustainable supply chain management. Decision support systems, 54(4), 1513-1520.

Seuring, S., & Gold, S. (2012). Conducting content-analysis based literature reviews in supply chain management. Supply Chain Management: An International Journal, 17(5), 544-555.

Tayur, S., Ganeshan, R., & Magazine, M. (Eds.). (2012). Quantitative models for supply chain management (Vol. 17). Springer Science & Business Media.

Tseng, M. L., & Chiu, A. S. (2013). Evaluating firm’s green supply chain management in linguistic preferences. Journal of cleaner production, 40, 22-31.

Walker, H., & Jones, N. (2012). Sustainable supply chain management across the UK private sector. Supply Chain Management: An International Journal, 17(1), 15-28.

Wisner, J. D., Tan, K. C., & Leong, G. K. (2014). Principles of supply chain management: A balanced approach. Cengage Learning.

Zhu, Q., Sarkis, J., & Lai, K. H. (2012). Examining the effects of green supply chain management practices and their mediations on performance improvements. International journal of production research, 50(5), 1377-1394.

Zhu, Q., Sarkis, J., & Lai, K. H. (2013). Institutional-based antecedents and performance outcomes of internal and external green supply chain management practices. Journal of Purchasing and Supply Management, 19(2), 106-117.