写出lingo求解代码

基于提供的文档信息来设计一个Lingo模型以解决上述生产的规划问题可能如下形式：

model:
sets: 
    Weeks /1..17/;  /*定义周次集*/
    production(weeks); /*第w周生产产品的数量*/
    arrival(weeks); /*第w周到货的产品数量*/
    available(weeks); /*第w周分销点可用产品数量*/
    orderd(weeks); /*第w周的客户订单数量*/
    dispatched_orders(weeks); /*第w周应发订单数量*/
    actual_delivery(weeks); /*第w周实际发货数量*/
    inventory(weeks); /*第w周分销点库存数量*/
    shortage(weeks); /*第w周分销点产品缺货数量*/
    forecasted_order(weeks);/*预测第w周分销点订单数量*/
endsets 

/*目标函数 - 最小化成本*/
min = @sum(weeks(i): 2*inventory(i) + 3*shortage(i));

/*生产运输约束*/
forall (weeks(i)| i>1 ) : arrival(i) = production(i-1);

/*可用数量约束*/
forall (weeks(i)): available(i) = inventory(i-1) + arrival(i) - actual_delivery(i);

/*应发数量约束*/
forall (weeks(i)): dispatched_orders(i) <= available(i);

/*实际发货量不能超过需求量*/
forall (weeks(i)): actual_delivery(i) <= orderd(i);

/*库存数量更新*/
forall (weeks(i)): inventory(i) = available(i) - (orderd(i)-shortage(i));

/*客户订单等于预测订单数*/
forall (weeks(i)| i>=10 and i<=26 ): orderd(i)=forecasted_order(i);
initial inventory;

data:
/*初始化库存 */
inventory(1) = initial_inventory;
/*预测的需求 */
forecasted_order::15,16,17,18,19,20,21,22,23,24,25,26;
enddata

请注意，以上LINGO模型是一种简化示例，并且某些细节如initial_inventory初始库存数值、预测需求的具体数字等需根据实际情况填写。同时，由于未提供具体的历史订单数据和其他相关数据，因此`forecasted_order`的数组是随意设定的。在实际应用时，请替换为您自己的数据。