Abstract
We propose a new concept of S-convex functions (and its variant, semi strictly quasi -S-(SSQS)-convex functions) to study substitute structures in economics and operations models with continuous variables. We develop a host of fundamental properties and characterizations of S-convex functions, including various preservation properties, conjugate relationships with submodular and convex functions, and characterizations using Hessians. For a divisible market, we show that the utility function satisfies gross substitutability if and only if it is S-concave under mild regularity conditions. In a parametric maximization model with a box constraint, we show that the set of optimal solutions is nonincreasing in the parameters if the objective function is (SSQS-) S-concave. Furthermore, we prove that S-convexity is necessary for the property of nonincreasing optimal solutions under some conditions. Our monotonicity result is applied to analyze two notable inventory models: a single-product inventory model with multiple unreliable suppliers and a classic multiproduct dynamic inventory model with lost sales. © 2022 INFORMS.
| Original language | English |
|---|---|
| Pages (from-to) | 1242-1254 |
| Journal | Operations Research |
| Volume | 72 |
| Issue number | 3 |
| Online published | 11 Nov 2022 |
| DOIs | |
| Publication status | Published - May 2024 |
Research Keywords
- S-convexity
- gross substitutability
- nonincreasing optimal solutions
- inventory models
- TRANSSHIPMENT CONTROL
- INVENTORY POLICIES
- JOINT INVENTORY
- EQUILIBRIUM
- MODELS
- MANAGEMENT
- POLYHEDRA