Dear Colleagues,

This industry and the logistical operations surrounding this sector are of vital importance for the world’s economy, where competitiveness is fierce and the fight for the survival of companies hinges on innovation in terms of products and processes, as well as companies remaining at the forefront of products sought out by the market and at prices the market is willing to pay. Studies focusing on optimizing processes and operations have received particular attention from researchers as there is a pronounced lack of new solutions emerging from the industry. Mathematics plays a crucial role in this aspect, as optimization has always involved, and will certainly continue to involve, increasingly evolving mathematical models seeking to present new solutions to the industry, with ever-advancing rates of customization taking into account the specific challenges and needs of each industrial sector.

Based on these needs, this Special Issue aims to gather together highly innovative contributions in the area of mathematical modeling that responds in both more generic and more targeted ways to concrete challenges faced by the industry in its operations, which demonstrably represent added value in terms of global knowledge. Thus, works with different typologies will be accepted, including reviews of the state of the art, development of new models with a view to solving generic or specific problems faced by the industry, as well as case studies duly supported by theory and displaying innovation in the presented methodology. The aim is to concentrate a collection of contributions of high scientific quality that could form the basis for a future book that contains the most recent mathematical developments in the field of optimizing processes and operations across the most diverse sectors of industry.

Dr. Francisco J. G. Silva
Prof. Dr. Luís Pinto Ferreira
Dr. Isabel Cristina Mendes Pinto
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• mathematical models
• processes optimization
• industrial management
• logistics optimization
• sustainability
• costs reduction
• quality optimization
• process flow optimization
• internal logistics optimization
• external logistics optimization
• optimization algorithms
• industrial operations
• robot path optimization
• information flow optimization
• optimization of the industry digitalization
• case studies

Title: Mixed-integer optimization for ship retrofitting in green logistics
Authors: Shuaian Wang
Affiliation: Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University,Hung Hom, Kowloon, Hong Kong

Title: Optimal deployment of container weighing equipment: models and properties
Authors: Shuaian Wang
Affiliation: Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University,Hung Hom, Kowloon, Hong Kong

Title: Optimal routing and scheduling of flag state control officer in maritime transportation
Authors: Shuaian Wang
Affiliation: Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University,Hung Hom, Kowloon, Hong Kong