This paper investigates how firms dynamically adjust their use of capital, labor, energy, and materials using the Colombian Census of Manufacturing. This Census contains data at the establishment level and provides evidence of a mix of smooth and lumpy adjustments and of interrelated factor adjustments. Based on this evidence, I propose a dynamic firm model that incorporates five key features: ...

Mathematical programming and artificial intelligence (AI) methods are known as the most effective and applicable procedures to form manufacturing cells in designing a cellular manufacturing system (CMS). In this paper, a bi-objective programming model is presented to consider the cell formation problem that is solved by a proposed multi-objective particle swarm optimization (MOPSO). The model c...

In this paper, a robust optimization approach is proposed to design a dynamic cellular manufacturing system (DCMS) under uncertainty of processing time of products. In addition, a mathematical model considering cell formation, inter-cell design and production planning under a dynamic environment (i.e., product mix and demand are changed in each period) is presented. Therefore, reconfiguration b...

As cells grow and divide under a given environment, they become crowded and resources are limited, as seen in bacterial biofilms and multicellular aggregates. These cells often show strong interactions through exchanging chemicals, as evident in quorum sensing, to achieve mutualism and division of labor. Here, to achieve stable division of labor, three characteristics are required. First, isoge...

Maternal-fetal cellular trafficking (MFCT) is a well described phenomenon during pregnancy in which maternal cells migrate into the fetus and fetal cells migrate into the mother [1–5]. The specific mechanisms leading to such trafficking and its lifelong consequences have fascinated scientists for decades and are still actively being investigated. For example, several groups have demonstrated an...

    Dynamic cellular manufacturing systems,   Mixed-integer non-linear programming,   Production planning, Manufacturing attributes   This paper presents a novel mixed-integer non-linear programming model for the design of a dynamic cellular manufacturing system (DCMS) based on production planning (PP) decisions and several manufacturing attributes. Such an integrated DCMS model with an extensi...