In conclusion, when preparing the formal responses to an RPD, one should keep these requirements and suggested practices in mind. Moreover, one should be mindful of the fact that during trial, the opposing counsel will likely be able to question the person who signed the verification before the trier of fact. The point to be made is this: The formal response is critical since the person who verifies it can be held responsible for it, including the mandatory language therein. Randolph M.
During his almost 25 years of practicing law primarily as a civil trial attorney , Judge Hammock was admitted to and actively practiced law in a total of 15 states, as well as over 20 federal district courts and courts of appeal. As such, he is likely to have had passed more bar exams than any other practicing lawyer in the United States.
He was in private practice in Los Angeles from the mids to his appointment as a Superior Court Referee in the juvenile dependency court in , where he served until elected as a Judge of the Los Angeles Superior Court in This is the mandatory language which must be used, verbatim, in such a response. This statement shall also specify whether the inability to comply is because the particular item or category has never existed, has been destroyed, has been lost, misplaced, or stolen, or has never been, or is no longer, in the possession, custody, or control of the responding party.
The statement shall set forth the name and address of any natural person or organization known or believed by that party to have possession, custody, or control of that item or category of item. If an objection is based on a claim of privilege, the particular privilege invoked shall be stated. If an objection is based on a claim that the information sought is protected work product under Chapter 4 commencing with Section Emphasis added.
Riddell cites no authority for such an exception to the statutory requirement of producing a privilege log, and we are aware of none. The former appears to require a more formal agreement. For reprint permission, contact the publisher: www. Download this article as a PDF. Hammock Randolph M. Endnote 1 See, e. Sadeghi [9] consider a multilevel assembly system with random lead time. They assumed that demand for final products is periodic with constant intervals and lead time is a random variable.
Some research considered EPQ model with price dependent the demand. Wee, Hui-Ming [10] considers to the replenishment inventory deteriorating model with price-dependent demand and assumed demand decreases linearly with the increase in price.
Teng and Chang [12] consider economic production quantity or EPQ model with deteriorating items and demand depends on the selling price and stock level.
You et al. They proposed the mathematical model and find the optimal order quantity and selling price. Zhengping[14] Consider an inventory coordination scheme for the single-period products with price-dependent demand.
Alfares et al. Lin Feng [16] Study on inventory control model and assumed demand is a multivariate function of the price, displayed stocks and freshness. Datta and Paul [17] consider a finite time horizon inventory control model and assumed that demand for final product is in dependent selling price and stocks and Burwell et al.
Yang [19] consider a backorder inventory model with a linear function for demand which demand decreased by increasing in price. Shouyu et al. In this paper we consider an economic production model with periodic demand and we assumed that demand for final product is dependent to the selling price.
Therefore, the manufacture produces the final product with fixed production rate but demand for this product is describe at the fixed interval time. Also, the price of product effects on the demand for final product. Proposed model In this section, the economic inventory control model has been developed which demand for final product is discrete and periodically. It should be noted that in this model, the product is produced by a machine and the production rate for each period is a constant and number of periods of demand at the production time is integer variable.
Other assumptions are discussed as follows. Times between two consecutive demands is fixed and is the same, in other words, per t s unit of time a demand equal to D v requested. Figure 1 show a schematic view of the inventory level.
As shown in Figure 1 , the product is produced at a rate P, and per t s unit of times a demand equal to D v requested. In this paper, assumed during the production time in each cycle, m times the demand occurs, and the amount of each time is equal to D v. According to the graph, each cycle consists of two parts, t p and td. The setup cost for each production cycle is and the production cost for each item is Unit holding cost per a year is The time between two demands is 0.
In a real system, by increasing the setup cost, the economic production quantity should be increased and should be produced in larger quantities in order to optimize overall system costs. In Table 1 we change the model parameters and find the optimal solution. As shown in Table 1 with increasing setup cost, number of periods of demand at the production time and the optimal production quantity are increased.
It is also predictable in intuition. It is clear by increasing the unit holding cost, the economic production quantity is decreased and It is also predictable in intuition also. Setup Holding order selling price demand quantity cost cost quantity 1 10 5 In this system consider a single-product, constant production rate and demand is discrete and periodic.
The cost of the system includes a fixed cost of production, setup costs, holding costs. A mixed integer mathematical model is suggested for this model used concave concept and partial derivatives for finding the optimal solution.
Finally, the sensitivity analysis of the optimal solution according to the main parameters shows that by increasing the setup cost, number of periods of demand at the production time and the optimal production quantity and by increasing the unit holding cost and keeping other parameters, number of periods of demand at the production time and the optimal production quantity are decreased.
An interesting research field to develop the proposed model, is considering this model when the shortage is allowed and also considering the multi-product system. Also, in the present work, we do not consider the effect of deterioration and production reliability on the proposed model and it is necessary to considering them for future work. Reference [1] Wagner, Harvey M.
Javadi, and A. IEEE,
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