Operative Strategies Using Perspective Model and Analysis
Companies produce goods intending to make profits after selling them. To do these, the goods are transported from several sources to different destinations. However, a few problems such as the maximal flow problem, transportation problem, assignment problem, and the shortest route problems arise while doing this. All these problems arise from a company’s network model, which comprises the distribution channels used by a company. A network model is an approach represented by arcs, nodes, and functions such as costs, supplies, and demands caused by the arcs and nodes (Anderson et al. 2018.)
These network problems can be solved by linear programming codes whereby the right-hand side of the linear programming is integers. The optimal solutions will be in the form of integer values from the decision variables. However, it is worth noting that different computers have different codes; therefore, they can sometimes take advantage of a network structure. Additionally, these networks create what we call a supply chain (Schroeder et al., 2013.) A supply chain refers to all resources involved in the production and distribution of goods.
The transportation model
A product is produced and sent to several destinations at the minimum cost possible in the transportation model. Each source produces a certain number of supply units, while each destination has its own fixed demand for the product. Therefore the linear programming model has its supply constraints at each source and demand at every destination. On the other hand, the supply is always equal to the demand; therefore, all constraints are equalities(Schroeder et al., 2013.) However, when the model is unbalanced, the supply and demand occur as inequalities.
The objective problem
The objective problem of any transportation problem is to minimize the shipping cost of the goods from the supplier to the destinations. Other objectives are to identify an origin that satisfies all demands and minimize the time taken. Minimize the transport cost or shipment costs required, minimize the number of origins and shipments used to satisfy the demands in all locations.
An overview of M& D chemicals is given whereby the chemicals produce raw materials sold to laundry and bathing soap manufacturing companies. Moreover, due to the rising demand for the goods in the current month, the company aims to produce 350gallons. However, a separate client has ordered 125 gallons of these raw materials, increasing the number of destinations (Anderson et al. 2018.) To process raw materials for productAatlist2 hours is required per gallon. On the other hand, to process product B, 1 hour is required for each gallon. All these gallons are required for the coming month, which has 600 hours as time set apart for production. M&D’s main objective is to find the minimum cost per schedule through the linear program. This program consists of the linear objective, which in this case is to be minimized. Additionally, it consists of constraints and variables restricted to nonnegative values.
Additionally, the production cost of 2$ per gallon for product A and 3 per gallon for product B Can be written as Min2A+3B. Net using the linear programming method entails considering the constraints where the customers demand 125 gallons will lesser than 125. Therefore, 1A≥125 and for 350 gallons 1A+1B ≥350. The third constraint will be for the time of production whereby 2A+1B≤600hours. In this case, the non-negativity constraints are A and B, which form the equation A, B≥0. Therefore, from these equations, linear programming only has two decision variables (Anderson et al., 2018.)
. In this case, the graphical solution can be used to find optimal production quantities by graphing each constraint line separately. Secondly, after graphing the constraints, one should check each side of the line to find the feasible region (Anderson et al., 2018.)
After that, the feasible regions on the graph are used to replace A and B in the equation 2A+1B≤600hours. Since A, in this case, is equated to 250 gallons, it is okay to say that product A exceeds the minimum level by 125 gallons (250_125=125.) Therefore this excess is known as surplus, whereby in linear programming, any excess corresponding to a ≥constraint is known as a surplus. It is also worth noting that LP ≥ is used as a surplus variable that can be subtracted from the left-hand side of the inequality to convert it to an equality form while ≤ it is added. Additionally, in the objective function, coefficients usually have 0 because they do not affect its value (Anderson et al. 2018.)
Optimal solutions are found at the extreme points in the feasible regions. A case where the optimal function line coincides with the constraints line on a graph results in an optimal solution. Sometimes these lines can be more than one, therefore, offering alternative optimal solutions that are good for the manager. These solutions provide the best policies which minimize the shipments\costs made to disseminate the products to the clients as per the demands. This usually means that several variables are optimal, and the manager can select the most desirable optimal solution (Anderson et al., 2018.)
The church as an organization
The church as an organization caters to not only members of the church but also society. The product or merchandise produced by the church as an organization is usually the biblical/ Christians teachings they offer. These teachings give us hope and restorations and help us live with Christian virtues, which help Christians understand the meaning of life. These products also equip members of society with life tools by teaching them how to live a holy, Godly life. The church disseminates its products through meetings, holding Christian services, and showing practical illustrations on guidelines given by religion. According to the book of Corinthians 12.12-31, the Lord has put together different body parts as one so that it can be able to serve the will of the Lord. This book adds that the Lord has given man legs to walk; therefore, one can walk around preaching the gospel. Secondly, one has a mouth that can be used to educate and preach biblical teachings; Another one is the mind to master the understand the works of the Lord, the eyes to see God’s will among many other body parts that come together to disseminate the Church’ product.
This should influence leadership in an organization by ensuring that the leaders use all their body parts and tools to spread and circulate the Lord’s word (church product.) Church leaders can use their speeches to host crusades and church services. They can alternatively use Aid, sponsorship, donations, among others, to spread their product.
Anderson, D. R., Sweeney, D. J., Williams, T. A., Camm, J. D., & Cochran, J. J. (2018). An introduction to management science: a quantitative approach. Cengage learning.
Schroeder, R. G., Goldstein, S. M., & Rungtusanatham, M. J. (2013). Operations management in the supply chain: Decisions and cases. McGraw-Hill Education.
The Holy Bible. (n.d.).
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