Optimal Pricing, Production And Intelligentization Policies For Smart, Connected Products Under Two-Level Trade Credits

Pramesti, Nandya Shafira (2021) Optimal Pricing, Production And Intelligentization Policies For Smart, Connected Products Under Two-Level Trade Credits. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Perkembangan teknologi, seperti Internet of Things (IoT) telah mentransformasi produk fisik tradisional menjadi smart, connected product (SCP). Meski, peningkatan kapabilitas produk telah menaikkan tren SCP, semakin tinggi kapabilitas yang dimiliki suatu produk tersebut, tentunya juga akan meningkatkan harga jualnya. Pelanggan mungkin tidak mau membayar lebih untuk penambahan fungsi suatu produk, karena telah melampaui apa yang dipersepsikan oleh pelanggan sebagai nilai, diakibatkan meningkatnya biaya yang harus dikeluarkan dan kompleksitas produk. Maka dari itu, pada penelitian ini, permintaan produk oleh pelanggan diasumsikan akan meningkat disaat harga jual produk turun dan usaha untuk meningkatkan kecerdasan produk (usaha inteligensi) meningkat. Selain itu, dalam prakteknya, produsen seringkali menerima keterlambatan pembayaran yang diizinkan (kredit perdagangan) dari pemasok sementara juga menawarkannya kepada pelanggan. Kredit perdagangan khususnya cukup penting pada kasus SCP, karena dapat berperan sebagai rencana pembayaran yang akan mengurangi hambatan harga pada SCP. Oleh sebab itu, tesis ini bertujuan untuk menentukan harga jual, ukuran produksi, dan tingkat usaha inteligensi yang optimal untuk satu jenis SCP guna memaksimalkan keuntungan tahunan produsen dengan adanya kredit perdagangan dua tingkat. Sebuah model economic production quantity (EPQ) dikembangkan dan kondisi-kondisi untuk memperoleh solusi yang optimal didapatkan. Contoh perhitungan dan analisis sensitivitas dilakukan untuk menggambarkan hasil teoritis dan pendekatan solusi yang telah dirumuskan.
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The development of technology, such as the Internet of Things (IoT), has transformed traditional physical products into smart, connected products (SCP). While the enhanced product’s capabilities have risen the trend of SCPs, the higher capabilities a product have, would certainly increase the product’s selling price. Customer may not want to pay for the extra functionality, as the addition of enhanced capabilities and options may reach beyond what customer perceives as value, due to extra cost and the increase complexity of use. Hence, in this research, the product’s demand is assumed to increase as the product’s selling price decreases and the effort to improve product intelligence (i.e., intelligent effort) increases. Moreover, in practice, manufacturer often receive a permissible delay in payment (trade credit) from the supplier while also offering it to the customers to attract more sales. It is particularly important in the case of SCPs, as trade credit could act as a payment plan that would reduce SCPs’ price barrier. Hence, the objective of this thesis is to determine the optimal selling price, lot size and level of intelligent effort in a single SCP to maximize the manufacturer’s annual profit under two-level trade credits. An economic production quantity (EPQ) model is developed, and the condition of the optimal solution is derived. Numerical examples and sensitivity analysis are carried out to illustrate the theoretical results and solution approach.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Model persediaan EPQ, Smart, connected product, Penentuan harga, Penentuan ukuran produksi, Kredit perdagangan, EPQ inventory model, Smart, connected products, Pricing, Lot-sizing, Trade credit
Subjects:	Q Science > Q Science (General) > Q180.55.M38 Mathematical models Q Science > QA Mathematics > QA371 Differential equations--Numerical solutions T Technology > T Technology (General) > T57.6 Operations research--Mathematics. Goal programming T Technology > TS Manufactures > TS155 Production control. Production planning. Production management
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26101-(S2) Master Thesis
Depositing User:	Nandya Shafira Pramesti
Date Deposited:	20 Aug 2021 03:56
Last Modified:	20 Aug 2021 03:56
URI:	http://repository.its.ac.id/id/eprint/87967

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