BUSN8034 Supply Chain Modelling and Analytics

Sustainable Supply Chain

Several business enterprises experience issues including tax laws, material availability, and costs. The major issues under discussion in this case are that which hovers around the transportation of the materials that need to be supplied to their various destinations. These issues drive various organizations to continuously reconfigure and redesign their supply chain. The supply chains are globalized and this has forced the mathematicians to apply their knowledge to eliminate the existing inadequacy realized in various institutions. Mathematicians prove it logical to use the knowledge possessed to design sustainable supply chain that would be beneficial to interested parties. Several scholars have advised suppliers across the world to use the mathematical models to optimize their supply chain. According to Kosasih and Brintrup 2021, the mathematical approaches apply techniques that reduce costs and increases greater capabilities.   Mathematical approaches play crucial roles in designing the supply chain using simultaneous methods, techniques or models of various kinds.

Mathematical approaches designs a better supply chain by reducing the costs. The approaches are cost effective since they minimize costs and increase sales. For instance, the approach used in supply helps to reduce expenses. For, example, mathematical operations concerned with distribution network and transportation routes minimizes the costs of transportation. Mathematicians reduce distance by using short cuts in networking and transportation routes sessions of operations. They can therefore easily calculate how to reduce distance and increase time. Such techniques are cost effective since they give us various methods we can use to avoid too much expenses (Talluri & Baker, 2018). According to mathematic specialists, supply of goods and services should be plentiful but this does not require too much spending. They reduce distance through network operations and application of better transportation routes that do not consume a lot of fuel. The approaches advise the suppliers and all in charge to calculate and plan well before undertaking any kind of transportation.

Again, several scholars prove mathematically models to be one of the crucial factors that increases greater capabilities. Without the mathematical skills, and knowledge, no one will conduct the supply chain operations effectively. Ordinarily, the suppliers need to possess these skills and if possible they should master certain calculations on their fingertips. Sometimes the suppliers find themselves supplying goods in large enterprises (Fakhrzad, & Goodarzian, 2021). They have to master other calculations and some even off head to be ready all the time for the work that they do day in and day out. The Linear programming in mathematical modelling allows the supply chain to reach its optimistic pic and therefore is a crucial technique under application in this scenario. The algorithm operations also gives the knowledge on how to calculate other operations conducted in organizations and these knowledge is also applicable to supplying team. It helps them to increase their capabilities, abilities, and increases their operating power.

Other literature sources proves that mathematical knowledge is efficient, reliable, and relevant in supply chain operations. The knowledge helps the managers to set a productive batch to its optimum levels to reduce losses. Application of mathematical operation in supply chain will lead to optimization rather than sales reductions. The employers are able to calculate and figure out well- structured programming that would incur greater profits. They cover all other aspects which leads to customer satisfaction, for instance, the practices that meets the customer’s satisfaction. Talluri and Baker (2018) says that the business organization would drastically decline where the customers are not satisfied. The mathematical knowledge hence allows the practice of wise calculations and budgeting that would not allow such matters to occur. Therefore, the various techniques, approaches, or methods in mathematics would play crucial role in supply chain in every part of the country.

References

Kosasih, E. E., & Brintrup, A. (2021). A mathematical approach for predicting hidden links in supply chain with graph neural networks. International Journal of Production Research, 1-14.

Fakhrzad, M. B., & Goodarzian, F. (2021). A new multi-objective mathematical model for a Citrus supply chain network design: Metaheuristic algorithms. Journal of Optimization in Industrial Engineering, 14(2), 127-144.

Talluri, S., & Baker, R. (2018). A multi-phase mathematical programming approach for effective supply chain design. European journal of operational research, 141(3), 544-558.

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