Value Chain Engineering

Question: Discuss about the Value Chain Engineering. Answer: Introduction Involvement of the employees, stakeholders and shareholders in the decision-making process is an additional assistance for the organizational personnel in terms of judging the feasibility and effectiveness of the exposed performance. Present report deals with analysis of the data provided in the data sheet. In addition, types of complaints, product family as well as customer along with CSR staffs are identified in the report. Furthermore, suggestion and solutions are provided in order to improve performance of the organization. Data Analysis In the first graph, variation in the customer complaints database reflects their dissatisfaction in terms of the offered services. The ranges of these complaints are a projection for the incapability of the personnel in terms of ensuring the well-being of the customers (Gereffi and Fernandez-Stark 2016). The evidence for this fact is the fluctuating graph, which shows the relations of the customers. This projects financial instability. The reference of 3 complaints as compared to the 719 customers relates to the complicated situation for the organizational personnel. As per the second graph, majority of the customers project their dissatisfaction towards the poor quality of the goods and services. The numerical projection is 264 out of 300 customers. The second place goes to the delivery of wrong products to which 176 out of 300 customers expresses dissatisfaction. 76 customers reflect poor response for the levied products and services. 57 out of 300 customers are not satisfied with the packaging of the products and services, which relates to the poor presentation of the delivery of goods. This response relates to the response of 18 customers, who are not happy with the packaging of the products. As per the other projections of the graph, 7 customers complained against the goods which have been lost in transit. 3 customers lodged complaints against the invoice errors, which limit their freedom of speech. The penultimate component of this graph is the complaint by 2 customers regarding the inferior quality of workmanship produced by the company pe rsonnel. In the third graph, majority of the customer express their compliant for PF 12. The numerical projection for this is 60. Next to this is the compliant of the customers for PF 10 for which 55 customers lodged complaints. As per the other projection of the graph, 54 customers lodged complaints for PF2. The next place is attained by PF8 for which 49 customers filed a complaint. Pondering upon the other cases, 48 customers lodged complaints for PF7. These bear resemblance with the complaint for PF 3 and PF 14. 47 customers complained for PF 4 and PF 15. 44 customers filed a suit for PF 5. 43 customers expressed their compliant for PF 9 and 41 customers towards PF 6. 46 customers filed a complaint towards PF11. The number of customers seems vague towards the range of customers complaints against the organizational issues. This necessitates the need of efficient machines which possess the flexibility to pave the way o smooth functioning for the organization. Maintaining continuity with this projection of the third graph and the fourth one also projects the complaints of the customers towards the PFs. For P1, the number of customer complaints is 63. For P10, there are 69 customers, who registered their complaints. In case of P2, the customer out reaches 81, which are 10 less than the out for P3. However, in case of P4, the customer count is the maximum, that is, 96. In case of P5, 77 customers filed their complaints, which is one less than the count for P6. The graph takes a rise in case of P8. For P7, the customer count is 62 and for P9, the count lowers to 58. In this case also, the number of customers attains prime significance in terms of their need fulfillment. These variations adversely affect their purchasing power and decisions. As the organization is facing several issues and a number of complaints from different departments of supply chain, it is vital to find out the major problems occurred in the organization. The business organization has 20,000 square meter distribution area for distribution centre with international as well as local customers. Hence, it is required to have adequate number of staffs to manage the process. However, there are several area of lacks for which the organization is facing number of complaints. According to the data analysis, wrong quantity and product, poor response, delivery, packaging, damaged product, lost in transit, invoice error and quality of workmanship are the complaint areas. Hence, it can be analyzed that the organization has problems in three major departments such as performance of staffs, logistic and quality of the product. Suggestion and Solution The projection of customer approach in terms of graphical representation enhances the clarity of the personnel in terms of tracking their performance (Savino et al. 2015). This speculation helps in assessing their performance in terms of the competitive ambience of the market. The variation in the customer complaints reflects the voices levied before them for utilizing the organizational resources. Lodging complaints can be considered as the judicious utilization of the resources, viewing it from other perspectives, complaints reflect the achievement of negative results upon the utilization of the resources (Hollensen 2015). Herein, lays the ineffective workmanship of the personnel in terms of providing quality products to the customers (El-Sayed et al. 2015). Typical examples of this are the poor quality packaging. Along with this, loss of goods in transit reflects the negligent attitude of the personnel in terms of safeguarding the security of the manufactured goods. Invoice errors reflect the snatching away of the basic rights of the customers (Meaton et al. 2015). The customers possess full right to compliant in case they receive poor quality goods or they have been a victim of false promises, derives among others. Hamilton-Hart and Stringer (2016) stated that the complaint against PF and P reflects the poor performance of the personnel from financial grounds. The wide-ranging frequency of the customer complaints in this regards propjets the failure of the personnel to handle the emergency phases (Irvine 2015). Herein, lays the absence of coordination among the functional units, which stalls the achievement of growth and profit. Viewing it from other perspectives, tracking the customer complaints in terms of graphs, and charts help the personnel to establish resolutions for the problems (Butler et al. 2013). Exposure of spontaneity in the achievement of effective solutions helps the personnel to restore customer loyalty, trust and dependence. On the contrary, negligence in this direction aggravates the complexities of the organization in terms of going up with the customer complaints. Conclusion From the above discussion it can be concluded that, application of one solution and carrying out evaluation helps the personnel to assess their performance in terms of the identified and the specified requirements. Maintenance of consistency in the execution of this evaluation brings noticeable improvements in the performance of the organization. Along with this, it also helps the managers to judge the performance appraisal of the employees in terms of their approach in these meetings. These actions projects collaborative output, which is rural for achieving positive outcomes in the competitive ambience of the market. References Butler, J.R., Gunn, R., Berry, H.L., Wagey, G.A., Hardesty, B.D. and Wilcox, C., 2013. A value chain analysis of ghost nets in the Arafura Sea: identifying trans-boundary stakeholders, intervention points and livelihood trade-offs.Journal of environmental management,123, pp.14-25. El-Sayed, A.F.M., Dickson, M.W. and El-Naggar, G.O., 2015. Value chain analysis of the aquaculture feed sector in Egypt.Aquaculture,437, pp.92-101. Gereffi, G. and Fernandez-Stark, K., 2016. Global value chain analysis: a primer. Hamilton-Hart, N. and Stringer, C., 2016. 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