ISSN:
1547-5816
eISSN:
1553-166X
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Journal of Industrial and Management Optimization
July 2005 , Volume 1 , Issue 3
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2005, 1(3): 275-287
doi: 10.3934/jimo.2005.1.275
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Abstract:
This paper addresses a new topic of supply chain management: service level constraint for a supply contract model in a buyer's perspective. The concept of order fill rate is introduced in the supply contract model as a measurement of customer service level. The buyer's optimal ordering decisions in both stages are derived by using the dynamic programming approach. The impact of the service level on the making of optimal decisions is analyzed. The main results include that: (1) the optimal ordering quantity with service level constraint is larger than or equal to that without constraint; (2) the optimal service level setting of the buyer is determined by the system parameters. The results presented in this paper provide insights for managers looking to find a tradeoff between profit maximization and customer service level.
This paper addresses a new topic of supply chain management: service level constraint for a supply contract model in a buyer's perspective. The concept of order fill rate is introduced in the supply contract model as a measurement of customer service level. The buyer's optimal ordering decisions in both stages are derived by using the dynamic programming approach. The impact of the service level on the making of optimal decisions is analyzed. The main results include that: (1) the optimal ordering quantity with service level constraint is larger than or equal to that without constraint; (2) the optimal service level setting of the buyer is determined by the system parameters. The results presented in this paper provide insights for managers looking to find a tradeoff between profit maximization and customer service level.
2005, 1(3): 289-304
doi: 10.3934/jimo.2005.1.289
+[Abstract](2680)
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Abstract:
We discuss the problem of the optimal liquidation of a financial product in which both the market risk of the asset and the market impact of the investor's own dealings are considered, and where the asset is liquidated over several sales periods with a constant sales interval. The investor chooses the sales volume in each period as well as the volume over the entire sales period in order to minimize the expected execution costs under a certain level of risk. We obtain an explicit solution for the optimal execution strategies and present four numerical examples to show that the proportion between market risk and liquidity risk exerts a major influence over the optimal execution strategy. We also show that to obtain the optimal result the investor should liquidate his holdings over a short sales period.
We discuss the problem of the optimal liquidation of a financial product in which both the market risk of the asset and the market impact of the investor's own dealings are considered, and where the asset is liquidated over several sales periods with a constant sales interval. The investor chooses the sales volume in each period as well as the volume over the entire sales period in order to minimize the expected execution costs under a certain level of risk. We obtain an explicit solution for the optimal execution strategies and present four numerical examples to show that the proportion between market risk and liquidity risk exerts a major influence over the optimal execution strategy. We also show that to obtain the optimal result the investor should liquidate his holdings over a short sales period.
2005, 1(3): 305-314
doi: 10.3934/jimo.2005.1.305
+[Abstract](2837)
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Abstract:
As we know, the transportation plan plays a very important role in reducing cost and time of shipping products. In this paper, we propose a bilevel transportation model to help decision makers to work more efficiently. We propose an exact penalty method for the bilevel transportation model, then test it by using both randomly generated test problems and problems with practical data which are collected in a very large company in China. These results of numerical tests show that the exact penalty method is very efficient in solving both kinds of problems.
As we know, the transportation plan plays a very important role in reducing cost and time of shipping products. In this paper, we propose a bilevel transportation model to help decision makers to work more efficiently. We propose an exact penalty method for the bilevel transportation model, then test it by using both randomly generated test problems and problems with practical data which are collected in a very large company in China. These results of numerical tests show that the exact penalty method is very efficient in solving both kinds of problems.
2005, 1(3): 315-321
doi: 10.3934/jimo.2005.1.315
+[Abstract](2289)
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Abstract:
We claim a conclusion on Multi-Dimensional Knapsack Problem (MKP), which extends an important proposition by Dantzig firstly, then address to a special case of this problem, and constitute a polynomial algorithm, extending Zukerman et al's work.
We claim a conclusion on Multi-Dimensional Knapsack Problem (MKP), which extends an important proposition by Dantzig firstly, then address to a special case of this problem, and constitute a polynomial algorithm, extending Zukerman et al's work.
2005, 1(3): 323-335
doi: 10.3934/jimo.2005.1.323
+[Abstract](2434)
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Abstract:
An A-shaped bin packing problem, where the items are cylinders and they must be packed into an A-shaped tower in each bin is considered in this paper. It is a variant of the classical one dimensional bin packing problem. For the off-line version of the problem, it is the same to the classical bin packing problem. For the on-line version of the problem, directly extended and radius-classified heuristics from the classical bin packing are analyzed and compared with the worst case analysis and simulation methods. The worst case analysis shows that the asymptotic competitive ratios of heuristics extended from the next fit, the worst fit, the best fit, the almost worst fit, the harmonics are all infinity except of the first fit with asymptotic competitive ratio 2. The radius-classified heuristics perform as well as in classical bin packing in view of the worst case analysis. Simulation results show that the best fit is the best among the directly extended heuristics and give the equilibrium point of choosing directly extended or radius-classified heuristics for an instance.
An A-shaped bin packing problem, where the items are cylinders and they must be packed into an A-shaped tower in each bin is considered in this paper. It is a variant of the classical one dimensional bin packing problem. For the off-line version of the problem, it is the same to the classical bin packing problem. For the on-line version of the problem, directly extended and radius-classified heuristics from the classical bin packing are analyzed and compared with the worst case analysis and simulation methods. The worst case analysis shows that the asymptotic competitive ratios of heuristics extended from the next fit, the worst fit, the best fit, the almost worst fit, the harmonics are all infinity except of the first fit with asymptotic competitive ratio 2. The radius-classified heuristics perform as well as in classical bin packing in view of the worst case analysis. Simulation results show that the best fit is the best among the directly extended heuristics and give the equilibrium point of choosing directly extended or radius-classified heuristics for an instance.
2005, 1(3): 337-343
doi: 10.3934/jimo.2005.1.337
+[Abstract](2264)
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Abstract:
Given two planar graphs $G$ and $H$, the subgraph recognition problem (SRP) is concerned with finding all isomorphic subgraphs of $H$ in $G$. Using the idea of layer-decomposition, we develop algorithms for SRP that have computational complexity $O(n(\Delta-1)^{k-1})$, where $\Delta$ is the degree of $G$ and $n, k$ are the orders of $G, H$ respectively.
Given two planar graphs $G$ and $H$, the subgraph recognition problem (SRP) is concerned with finding all isomorphic subgraphs of $H$ in $G$. Using the idea of layer-decomposition, we develop algorithms for SRP that have computational complexity $O(n(\Delta-1)^{k-1})$, where $\Delta$ is the degree of $G$ and $n, k$ are the orders of $G, H$ respectively.
2005, 1(3): 345-351
doi: 10.3934/jimo.2005.1.345
+[Abstract](2950)
+[PDF](199.5KB)
Abstract:
We consider an on-line scheduling problem, where jobs arrive one by one to be scheduled on two identical parallel processors with preemption. The objective is to minimize the machine completion time vector with respect to the $l_p$ norm. We present a best possible deterministic on-line scheduling algorithm along with a matching lower bound.
We consider an on-line scheduling problem, where jobs arrive one by one to be scheduled on two identical parallel processors with preemption. The objective is to minimize the machine completion time vector with respect to the $l_p$ norm. We present a best possible deterministic on-line scheduling algorithm along with a matching lower bound.
2005, 1(3): 353-358
doi: 10.3934/jimo.2005.1.353
+[Abstract](2368)
+[PDF](173.1KB)
Abstract:
We consider the single machine parallel-batching scheduling problem with precedence relations, release dates and identical processing times to minimize total weighted completion time. We give a polynomial-time approximation scheme (PTAS) for the problem.
We consider the single machine parallel-batching scheduling problem with precedence relations, release dates and identical processing times to minimize total weighted completion time. We give a polynomial-time approximation scheme (PTAS) for the problem.
2005, 1(3): 359-375
doi: 10.3934/jimo.2005.1.359
+[Abstract](2601)
+[PDF](352.6KB)
Abstract:
We investigate the Joint Replenishment Problem (JRP) with deteriorating products in this paper. Many researchers have been devoting their efforts to solve the JRP for some thirty years. Though, there exists no JRP model that considers deterioration cost incurred from obsolescence, damage, spoilage, evaporation, and decay that often happens in the real world. Our focus in this study is to conduct theoretical analysis on the mathematical model for the JRP with deteriorating products by exploring the optimality structure and deriving several interesting properties on the optimal objective curve. By utilizing our theoretical results, we propose a search procedure that can efficiently solve the optimal solution. Based on our numerical experiments, we show that the proposed algorithm provides significantly better replenishment strategy than the case in which the decision maker ignores the deteriorating factor.
We investigate the Joint Replenishment Problem (JRP) with deteriorating products in this paper. Many researchers have been devoting their efforts to solve the JRP for some thirty years. Though, there exists no JRP model that considers deterioration cost incurred from obsolescence, damage, spoilage, evaporation, and decay that often happens in the real world. Our focus in this study is to conduct theoretical analysis on the mathematical model for the JRP with deteriorating products by exploring the optimality structure and deriving several interesting properties on the optimal objective curve. By utilizing our theoretical results, we propose a search procedure that can efficiently solve the optimal solution. Based on our numerical experiments, we show that the proposed algorithm provides significantly better replenishment strategy than the case in which the decision maker ignores the deteriorating factor.
2005, 1(3): 377-388
doi: 10.3934/jimo.2005.1.377
+[Abstract](3033)
+[PDF](211.1KB)
Abstract:
In this study simplified mathematical models of the nonlinear dynamic systems of dissimilation of glycerol to 1,3-propanediol by {\it Klebsiella pneumoniae} in continuous, batch and fed-batch cultures are investigated. Considering big errors between the experimental results and computational values in the existing models, the parameter identification models for these systems are established. The properties of the solutions for the nonlinear dynamic systems are discussed and the identifiability of the parameters is proved. In view of the sudden increase of the glycerol and alkali in fed-batch culture, this paper proposes a nonlinear impulsive system of fed-batch culture. The existence, uniqueness and regularity properties of piecewise solution for the system are proved. Based on the nonlinear impulsive system, the paper constructs an optimal control model in view of the controllability of volumes of glycerol added to the reactor instantaneously, and the existence of the optimal control is obtained.
In this study simplified mathematical models of the nonlinear dynamic systems of dissimilation of glycerol to 1,3-propanediol by {\it Klebsiella pneumoniae} in continuous, batch and fed-batch cultures are investigated. Considering big errors between the experimental results and computational values in the existing models, the parameter identification models for these systems are established. The properties of the solutions for the nonlinear dynamic systems are discussed and the identifiability of the parameters is proved. In view of the sudden increase of the glycerol and alkali in fed-batch culture, this paper proposes a nonlinear impulsive system of fed-batch culture. The existence, uniqueness and regularity properties of piecewise solution for the system are proved. Based on the nonlinear impulsive system, the paper constructs an optimal control model in view of the controllability of volumes of glycerol added to the reactor instantaneously, and the existence of the optimal control is obtained.
2005, 1(3): 389-404
doi: 10.3934/jimo.2005.1.389
+[Abstract](2720)
+[PDF](249.9KB)
Abstract:
In this paper, a new neural network adaptive control strategy based on Host Gate Way Rate Control Protocol (HGRCP) is proposed for intranet congestion management. The control algorithm is based on the Elman recurrent neural network via using the ABR service of an ATM backbone network. Simulations confirm that the proposed algorithm will produce lower queue level variance at the gateway. Meanwhile, the learning capability can be improved significantly.
In this paper, a new neural network adaptive control strategy based on Host Gate Way Rate Control Protocol (HGRCP) is proposed for intranet congestion management. The control algorithm is based on the Elman recurrent neural network via using the ABR service of an ATM backbone network. Simulations confirm that the proposed algorithm will produce lower queue level variance at the gateway. Meanwhile, the learning capability can be improved significantly.
2005, 1(3): 405-414
doi: 10.3934/jimo.2005.1.405
+[Abstract](2680)
+[PDF](211.9KB)
Abstract:
For the Arctic ice layer with high temperature in summer, the concepts of enthalpy degree, specific enthalpy and enthalpy conduction coefficient etc. are introduced in terms of the concept of enthalpy in calorifics. Heat conduction equation of enthalpy is constructed in the process of phase transformation of the Arctic ice. The condition of determinant solution and the identification model of diffusion coefficient of enthalpy are presented. Half implicit difference scheme and Schwartz alternating direction iteration are applied to solve the enthalpy conduction equation and sensitivity equation. Furthermore the Newton-Raphson algorithm is used for identification. The numerical results illustrate that the mathematic model and optimization algorithm are precise and feasible by the data(2003.8)of the Second Chinese Arctic Research Expedition in situ.
For the Arctic ice layer with high temperature in summer, the concepts of enthalpy degree, specific enthalpy and enthalpy conduction coefficient etc. are introduced in terms of the concept of enthalpy in calorifics. Heat conduction equation of enthalpy is constructed in the process of phase transformation of the Arctic ice. The condition of determinant solution and the identification model of diffusion coefficient of enthalpy are presented. Half implicit difference scheme and Schwartz alternating direction iteration are applied to solve the enthalpy conduction equation and sensitivity equation. Furthermore the Newton-Raphson algorithm is used for identification. The numerical results illustrate that the mathematic model and optimization algorithm are precise and feasible by the data(2003.8)of the Second Chinese Arctic Research Expedition in situ.
2021
Impact Factor: 1.411
5 Year Impact Factor: 1.441
2021 CiteScore: 2.1
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