Process systems engineering applications, challenges and opportunities in the toll manufacturing industry

Abstract

There is a drive in chemical industries toward outsourcing many operations so that companies can effectively focus on their core competencies, and can rapidly acquire processing capabilities without setting up new facilities. This concept of toll manufacturing is based on a sharing‐economy model for on‐demand chemical production services. In toll manufacturing, the customer or consumer company provides raw materials to a toll manufacturer who then offers the rest of processing services. Due to distributed chemical production supply chains and decentralized nature of tolling model, a new set of challenges arise for both consumers and manufacturers. This article presents the prevalent applications of toll manufacturing in chemical industries, identifies key challenges of the sharing‐economy model, and highlights the opportunities and key issues of using process systems engineering (PSE) approaches to help toll manufacturing.

Perbandingan Analisis Parameter Moisture Content Flavour Powder Menggunakan Moisture Analyzer Dan Oven

“…Botol ini memiliki ukuran yang beragam dengan massa yang beragam juga. Untuk itu, sebelum dilakukan pemanasan sampel menggunakan oven, diperlukan penimbangan massa dari botol timbang [12]. Konsep yang digunakan dalam analisa MC menggunakan oven hampir sama dengan perhitungan dengan menggunakan moisture analyzer, yaitu thermogravimetri.…”

Editorial

“…Finally, advanced manufacturing and processing has a strong systems component, which plays out not only in the tools we can use to design and securely operate manufacturing systems but also in the way we can configure enterprises to take advantage of new technology, such as through toll manufacturing, which was the subject of a review article by Arora and Hasan. [ 13 ] We featured a commentary on the debate around whether artificial intelligence (AI) tools will have a significant impact on the process industry, [ 14 ] and we hope that, by spurring this discussion, we can move the field toward a better understanding of the roles of AI in advanced manufacturing.…”