Conclusions
In this paper, we used integrated programming (KPP-POS) and
solved two aspects of problems based on the distribution of hazardous
generation nodes in a certain time period: (1) assume only
K temporary disposal nodes can be set up, we identified the optimal
location of K temporary disposal nodes which maximum the
covering range (i.e., the number of covered generation nodes); (2)
assume it is desired to cover all the generation nodes, we identified
the number of minimum disposal nodes and the optimal location.
We solved the problem about how to swiftly, efficiently and accurately
make the optimal temporary nodes construction decision
under the circumstance of limited disposal resource or desirable
complete disposal according to the practical situation of dynamic
changes.
Our study separately discussed the circumstance of limited
disposal resource and desirable complete disposal, and both of
them consistent to practical situation. The predictability of this
model makes previous preparation for the construction of the next
disposal node possible. Under the circumstance of dynamically
changing hazardous waste generation nodes, the model in this
paper could immediately consider the current situation and accurately
make the optimal decision in a quickly response, which has
strong practical significance.
The limitation of this paper is that this model focuses on
the prospective optimization of industrial hazardous waste disposal
system, which is supposed to be combined with subsequent
optimization model in order to optimize the entire management
system. Next, this model is applicable to every disposal node and
in condition of non-difference. In the future we should have further
discussion under different situations of each node (output, disposal
amount, disposal tech, etc.). In addition, it will have stronger
practical significance if we discuss on the basis of specific practical
situations and specific data, e.g., bring the factors such as
the output of each hazardous waste generation node, the scale
of risks of different hazardous waste, the costs of transportation
distance, the disposal ability of each temporary disposal node
(including the disposal amount and the sorts of hazardous waste
that could be disposed, etc.) into consideration, under this circumstance,
the result of the simulation will has stronger practical
significance