EN
TR
Analysis and Improvement of Production Planning Processes in a Food Factory
Abstract
Demand forecasting and production planning are the main planning issues in industry. Poor forecasting and ineffective production planning procedures result in either excess inventories or unmet demand. In either case company faces with excessive losses. Over the past century, scientific management principles have been highly developed and can be used to solve these problems. However, many companies either lack engineering and management knowledge in this respect or are careless in applying already available forecasting and planning tools. This study presents a case application which illustrates the use of available management tools and shows how a significant amount of cost savings can be achieved by just applying basic tools and procedures. The paper can be useful for practicing engineers and production planning managers in future applications.
Keywords
Kaynakça
- Amare, T., Singh, B., Kabata, G., and Bhaskaran J. (2021) “Improvement Analysis of Production Planning and Control System”, Idustrial Engineering & Management Vol. 10, No. 3.
- Jaipuria, S., & Mahapatra, S. S. (2014). An improved demand forecasting method to reduce bullwhip effect in supply chains. Expert Systems with Applications, 41(5), 2395-2408
- Kandananond, K. (2012). Consumer product demand forecasting based on artificial neural network and support vector machine. International Journal of Economics and Management Engineering, 6(3), 313-316.
- McGarrie, B. (1998), "Case study: production planning and control ‐ selection, improvement and implementation", Logistics Information Management, Vol. 11 No. 1, pp. 44-52.
- Mozelewski, T. G., & Scheller, R. M. (2021). Forecasting for intended consequences. Conservation Science and Practice, 3(4), 370-380.
- Murphy, M. D., O’Mahony, M. J., Shalloo, L., French, P., & Upton, J. (2014). Comparison of modelling techniques for milk- production forecasting. Journal of dairy science, 97(6), 3352-3363.
- Rianthong, S., Ruekkasaem, L., and Aungkulanon, P. (2019) “Aggregate Production Planning, Case Study in a Small-Sized Company in Thailand”, International Journal of Mechanical Engineering and Technology 10(12): pp.182-187.
- Savsar, M. and Abdulmalek, F. (2008), “Modeling of a Pull-Push Assembly Control System to Minimize Inventory and Demand Delay Costs”, International Journal of Industrial Engineering, Vol. 15, No. 1.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
1 Aralık 2021
Gönderilme Tarihi
10 Aralık 2021
Kabul Tarihi
10 Aralık 2021
Yayımlandığı Sayı
Yıl 2021 Sayı: 29